diff --git "a/checkpoint-3048/README.md" "b/checkpoint-3048/README.md" new file mode 100644--- /dev/null +++ "b/checkpoint-3048/README.md" @@ -0,0 +1,3929 @@ +--- +base_model: microsoft/deberta-v3-small +library_name: sentence-transformers +metrics: +- pearson_cosine +- spearman_cosine +- pearson_manhattan +- spearman_manhattan +- pearson_euclidean +- spearman_euclidean +- pearson_dot +- spearman_dot +- pearson_max +- spearman_max +- cosine_accuracy +- cosine_accuracy_threshold +- cosine_f1 +- cosine_f1_threshold +- cosine_precision +- cosine_recall +- cosine_ap +- dot_accuracy +- dot_accuracy_threshold +- dot_f1 +- dot_f1_threshold +- dot_precision +- dot_recall +- dot_ap +- manhattan_accuracy +- manhattan_accuracy_threshold +- manhattan_f1 +- manhattan_f1_threshold +- manhattan_precision +- manhattan_recall +- manhattan_ap +- euclidean_accuracy +- euclidean_accuracy_threshold +- euclidean_f1 +- euclidean_f1_threshold +- euclidean_precision +- euclidean_recall +- euclidean_ap +- max_accuracy +- max_accuracy_threshold +- max_f1 +- max_f1_threshold +- max_precision +- max_recall +- max_ap +pipeline_tag: sentence-similarity +tags: +- sentence-transformers +- sentence-similarity +- feature-extraction +- generated_from_trainer +- dataset_size:32500 +- loss:GISTEmbedLoss +widget: +- source_sentence: Vermont South is bordered by Mitcham to the north , Nunawading + and Forest Hill to the west , Vermont to the south and Wantirna and Ringwood to + the east . + sentences: + - Vermont South is bordered to the north of Mitcham , to the west by Nunawading + and Forest Hill , to the south by Vermont and to the east by Wantirna and Ringwood + . + - Ocean waves are among the most impressive waves in the world. They clearly show + that waves transfer energy. In the case of ocean waves, energy is transferred + through matter. But some waves, called electromagnetic waves, can transfer energy + without traveling through matter. These waves can travel through space. You can + read more about electromagnetic waves in the chapter "Electromagnetic Radiation. + " Waves that transfer energy through matter are the focus of the present chapter. + These waves are called mechanical waves. + - Mosque–Cathedral of Córdoba The building is most notable for its arcaded hypostyle + hall, with 856 columns of jasper, onyx, marble, and granite. These were made from + pieces of the Roman temple which had occupied the site previously, as well as + other destroyed Roman buildings, such as the Mérida amphitheatre. The double arches + were a new introduction to architecture, permitting higher ceilings than would + otherwise be possible with relatively low columns. The double arches consist of + a lower horseshoe arch and an upper semi-circular arch. The famous alternating + red and white voussoirs of the arches were inspired by those in the Dome of the + Rock.[31] and also resemble those of the Aachen Cathedral, which were built almost + at the same time. Horseshoe arches were known in the Iberian Peninsula since late + Antiquity, as can be seen on the 3rd-century "Estela de los Flavios", now in the + arqueological museum of León. A centrally located honey-combed dome has blue tiles + decorated with stars. +- source_sentence: What are single-celled organisms that lack a nucleus? + sentences: + - a dog standing near a street sign on a dirt road + - "Prokaryotes are single-celled organisms that lack a nucleus.. Prokaryotes All\ + \ bacteria are prokaryotes. \n bacteria are single-celled organisms that lack\ + \ a nucleus." + - 1 cup rice uncooked = 7 oz / 200 g = 600 g ( 5 cups / 21 oz in weight) cooked + [2] (Will serve 5 people). 1 pound of rice = 2 1/4 to 2 1/2 cups uncooked = 11 + cups cooked (Will serve 11 people). +- source_sentence: In the UK television series ‘On The Buses’, what is the first name + of Inspector Blake? + sentences: + - How Long Does Vicodin Stay in Your System? While the effects of Vicodin last around + 4 hours, traces of the drug can remain in your system for up to 72 hours. In some + adults you can still find traces of the drug in your system after 5 days. A person's + weight, diet, age and level of body fat will contribute to how quickly your body + is able to process and rid itself of the drug. In general, the higher your metabolism + rate, the sooner traces of the drug will be eliminated. + - 'Stephen Lewis - IMDb IMDb Actor | Writer Stephen Lewis, will be chiefly remembered + for the comedy catchphrase: "I ''ate you Butler!" He delivered it week after week + in the hit sitcom On The Buses, a saucy slice of life that ran on ITV from 1969 + to 1973. Lewis was Cyril "Blakey" Blake, a bus inspector with a Hitler moustache + and delusions of grandeur. His nemesis was Stan Butler, a driver ... See full + bio » Born:' + - 'Definition of Dysuria Our Symptoms article on Burning Urination provides a comprehensive + look at the possible causes and treatments of Burning Urination. Definition of + Dysuria Dysuria: Pain during urination, or difficulty urinating. Dysuria is usually + caused by inflammation of the urethra, frequently as a result of infection. Last + Editorial Review: 5/13/2016' +- source_sentence: 'Two cups of black coffee sitting next to a coffee pot. ' + sentences: + - As of 19 March , more than 225,000 cases of COVID-19 have been reported in over + 150 countries and territories , resulting in more than 9,200 deaths and 85,000 + recoveries . + - Other than gametes, normal human cells have a total of 46 chromosomes per cell. + - two small cups filled with coffee next to a silver coffee pot +- source_sentence: Larry Lurex was the original stage name of which late singer? + sentences: + - Larry Lurex Story - Freddie Mercury Net Worth Larry Lurex Story Read more... Freddie + Mercury Freddie Mercury Net Worth is $100 Million. Freddie Mercury was born in + Zanzibar and has an estimated net worth of $100 million dollars. As the lead singer + and songwriter with the hugely successful British band, Queen, Freddie Mercury + wrote many hit. Freddie Mercury (born Farrok... Freddie Mercury Net Worth is $100 + Million. Freddie Mercury Net Worth is $100 Million. Freddie Mercury was born in + Zanzibar and has an estimated net worth of $100 million dollars. As the lead singer + and songwriter with the hugely successful British band, Queen, Freddie Mercury + wrote many hit Freddie Mercury , 5 September 1946 - 24 November 1991) was a British + musician, singer and songwriter, best known as the lead vocalist and lyricist + of the rock band Queen. As a performer, he was known for his flamboyant stage + persona and powerful vocals over a four-octave range. As a songwriter, Mercury + composed many hits for Queen, including "Bohemian Rhapsody", "Killer Queen", "Somebody + to Love", "Don't Stop Me Now", "Crazy Little Thing Called Love" and "We Are the + Champions". In addition to his work with Queen, he led a solo career, and also + occasionally served as a producer and guest musician for other artists. He died + of bronchopneumonia brought on by AIDS on 24 November 1991, only one day after + publicly acknowledging he had the disease. Mercury was a Parsi born in Zanzibar + and grew up there and in India until his mid-teens. He has been referred to as + "Britain's first Asian rock star". In 2002, Mercury was placed ... + - The everyday beverage coffee is a commodity second only to oil in worldwide trade. + - more than 680,000 cases of COVID-19 have been reported in over 190 countries and + territories , resulting in approximately 31,900 deaths . +model-index: +- name: SentenceTransformer based on microsoft/deberta-v3-small + results: + - task: + type: semantic-similarity + name: Semantic Similarity + dataset: + name: sts test + type: sts-test + metrics: + - type: pearson_cosine + value: 0.6549476499152822 + name: Pearson Cosine + - type: spearman_cosine + value: 0.6617045917839 + name: Spearman Cosine + - type: pearson_manhattan + value: 0.6703075464471974 + name: Pearson Manhattan + - type: spearman_manhattan + value: 0.664562675843923 + name: Spearman Manhattan + - type: pearson_euclidean + value: 0.6669531190153849 + name: Pearson Euclidean + - type: spearman_euclidean + value: 0.6619002890499646 + name: Spearman Euclidean + - type: pearson_dot + value: 0.654094600699473 + name: Pearson Dot + - type: spearman_dot + value: 0.6611669948808051 + name: Spearman Dot + - type: pearson_max + value: 0.6703075464471974 + name: Pearson Max + - type: spearman_max + value: 0.664562675843923 + name: Spearman Max + - task: + type: binary-classification + name: Binary Classification + dataset: + name: allNLI dev + type: allNLI-dev + metrics: + - type: cosine_accuracy + value: 0.6953125 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.9145020246505737 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.560364464692483 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.8175112009048462 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.462406015037594 + name: Cosine Precision + - type: cosine_recall + value: 0.7109826589595376 + name: Cosine Recall + - type: cosine_ap + value: 0.5212810979375195 + name: Cosine Ap + - type: dot_accuracy + value: 0.693359375 + name: Dot Accuracy + - type: dot_accuracy_threshold + value: 700.8072509765625 + name: Dot Accuracy Threshold + - type: dot_f1 + value: 0.5540540540540541 + name: Dot F1 + - type: dot_f1_threshold + value: 623.1869506835938 + name: Dot F1 Threshold + - type: dot_precision + value: 0.45387453874538747 + name: Dot Precision + - type: dot_recall + value: 0.7109826589595376 + name: Dot Recall + - type: dot_ap + value: 0.5186569295484549 + name: Dot Ap + - type: manhattan_accuracy + value: 0.69140625 + name: Manhattan Accuracy + - type: manhattan_accuracy_threshold + value: 245.1360626220703 + name: Manhattan Accuracy Threshold + - type: manhattan_f1 + value: 0.5584415584415584 + name: Manhattan F1 + - type: manhattan_f1_threshold + value: 360.3310546875 + name: Manhattan F1 Threshold + - type: manhattan_precision + value: 0.4463667820069204 + name: Manhattan Precision + - type: manhattan_recall + value: 0.7456647398843931 + name: Manhattan Recall + - type: manhattan_ap + value: 0.5193808341055445 + name: Manhattan Ap + - type: euclidean_accuracy + value: 0.6953125 + name: Euclidean Accuracy + - type: euclidean_accuracy_threshold + value: 11.445773124694824 + name: Euclidean Accuracy Threshold + - type: euclidean_f1 + value: 0.560364464692483 + name: Euclidean F1 + - type: euclidean_f1_threshold + value: 16.688749313354492 + name: Euclidean F1 Threshold + - type: euclidean_precision + value: 0.462406015037594 + name: Euclidean Precision + - type: euclidean_recall + value: 0.7109826589595376 + name: Euclidean Recall + - type: euclidean_ap + value: 0.5209866197717024 + name: Euclidean Ap + - type: max_accuracy + value: 0.6953125 + name: Max Accuracy + - type: max_accuracy_threshold + value: 700.8072509765625 + name: Max Accuracy Threshold + - type: max_f1 + value: 0.560364464692483 + name: Max F1 + - type: max_f1_threshold + value: 623.1869506835938 + name: Max F1 Threshold + - type: max_precision + value: 0.462406015037594 + name: Max Precision + - type: max_recall + value: 0.7456647398843931 + name: Max Recall + - type: max_ap + value: 0.5212810979375195 + name: Max Ap + - task: + type: binary-classification + name: Binary Classification + dataset: + name: Qnli dev + type: Qnli-dev + metrics: + - type: cosine_accuracy + value: 0.6796875 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.7960593700408936 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.6924315619967794 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.7081151008605957 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.5584415584415584 + name: Cosine Precision + - type: cosine_recall + value: 0.9110169491525424 + name: Cosine Recall + - type: cosine_ap + value: 0.7039872572986636 + name: Cosine Ap + - type: dot_accuracy + value: 0.677734375 + name: Dot Accuracy + - type: dot_accuracy_threshold + value: 606.1690063476562 + name: Dot Accuracy Threshold + - type: dot_f1 + value: 0.6939443535188216 + name: Dot F1 + - type: dot_f1_threshold + value: 547.9747314453125 + name: Dot F1 Threshold + - type: dot_precision + value: 0.5653333333333334 + name: Dot Precision + - type: dot_recall + value: 0.8983050847457628 + name: Dot Recall + - type: dot_ap + value: 0.7003540936136716 + name: Dot Ap + - type: manhattan_accuracy + value: 0.697265625 + name: Manhattan Accuracy + - type: manhattan_accuracy_threshold + value: 376.2118835449219 + name: Manhattan Accuracy Threshold + - type: manhattan_f1 + value: 0.6949429037520392 + name: Manhattan F1 + - type: manhattan_f1_threshold + value: 439.9166564941406 + name: Manhattan F1 Threshold + - type: manhattan_precision + value: 0.5649867374005305 + name: Manhattan Precision + - type: manhattan_recall + value: 0.902542372881356 + name: Manhattan Recall + - type: manhattan_ap + value: 0.7133804101994428 + name: Manhattan Ap + - type: euclidean_accuracy + value: 0.6796875 + name: Euclidean Accuracy + - type: euclidean_accuracy_threshold + value: 17.620656967163086 + name: Euclidean Accuracy Threshold + - type: euclidean_f1 + value: 0.6935483870967742 + name: Euclidean F1 + - type: euclidean_f1_threshold + value: 20.996856689453125 + name: Euclidean F1 Threshold + - type: euclidean_precision + value: 0.5598958333333334 + name: Euclidean Precision + - type: euclidean_recall + value: 0.9110169491525424 + name: Euclidean Recall + - type: euclidean_ap + value: 0.7045153090257912 + name: Euclidean Ap + - type: max_accuracy + value: 0.697265625 + name: Max Accuracy + - type: max_accuracy_threshold + value: 606.1690063476562 + name: Max Accuracy Threshold + - type: max_f1 + value: 0.6949429037520392 + name: Max F1 + - type: max_f1_threshold + value: 547.9747314453125 + name: Max F1 Threshold + - type: max_precision + value: 0.5653333333333334 + name: Max Precision + - type: max_recall + value: 0.9110169491525424 + name: Max Recall + - type: max_ap + value: 0.7133804101994428 + name: Max Ap +--- + +# SentenceTransformer based on microsoft/deberta-v3-small + +This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. + +## Model Details + +### Model Description +- **Model Type:** Sentence Transformer +- **Base model:** [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) +- **Maximum Sequence Length:** 512 tokens +- **Output Dimensionality:** 768 tokens +- **Similarity Function:** Cosine Similarity + + + + +### Model Sources + +- **Documentation:** [Sentence Transformers Documentation](https://sbert.net) +- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) +- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) + +### Full Model Architecture + +``` +SentenceTransformer( + (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: DebertaV2Model + (1): AdvancedWeightedPooling( + (linear_cls_pj): Linear(in_features=768, out_features=768, bias=True) + (linear_cls_Qpj): Linear(in_features=768, out_features=768, bias=True) + (linear_mean_pj): Linear(in_features=768, out_features=768, bias=True) + (linear_attnOut): Linear(in_features=768, out_features=768, bias=True) + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True) + ) + (layernorm_output): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_weightedPooing): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_pjCls): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_pjMean): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_attnOut): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + ) +) +``` + +## Usage + +### Direct Usage (Sentence Transformers) + +First install the Sentence Transformers library: + +```bash +pip install -U sentence-transformers +``` + +Then you can load this model and run inference. +```python +from sentence_transformers import SentenceTransformer + +# Download from the 🤗 Hub +model = SentenceTransformer("bobox/DeBERTa3-s-CustomPoolin-toytest2-step1-checkpoints-tmp") +# Run inference +sentences = [ + 'Larry Lurex was the original stage name of which late singer?', + 'Larry Lurex Story - Freddie Mercury Net Worth Larry Lurex Story Read more... Freddie Mercury Freddie Mercury Net Worth is $100 Million. Freddie Mercury was born in Zanzibar and has an estimated net worth of $100 million dollars. As the lead singer and songwriter with the hugely successful British band, Queen, Freddie Mercury wrote many hit. Freddie Mercury (born Farrok... Freddie Mercury Net Worth is $100 Million. Freddie Mercury Net Worth is $100 Million. Freddie Mercury was born in Zanzibar and has an estimated net worth of $100 million dollars. As the lead singer and songwriter with the hugely successful British band, Queen, Freddie Mercury wrote many hit Freddie Mercury , 5 September 1946 - 24 November 1991) was a British musician, singer and songwriter, best known as the lead vocalist and lyricist of the rock band Queen. As a performer, he was known for his flamboyant stage persona and powerful vocals over a four-octave range. As a songwriter, Mercury composed many hits for Queen, including "Bohemian Rhapsody", "Killer Queen", "Somebody to Love", "Don\'t Stop Me Now", "Crazy Little Thing Called Love" and "We Are the Champions". In addition to his work with Queen, he led a solo career, and also occasionally served as a producer and guest musician for other artists. He died of bronchopneumonia brought on by AIDS on 24 November 1991, only one day after publicly acknowledging he had the disease. Mercury was a Parsi born in Zanzibar and grew up there and in India until his mid-teens. He has been referred to as "Britain\'s first Asian rock star". In 2002, Mercury was placed ...', + 'The everyday beverage coffee is a commodity second only to oil in worldwide trade.', +] +embeddings = model.encode(sentences) +print(embeddings.shape) +# [3, 768] + +# Get the similarity scores for the embeddings +similarities = model.similarity(embeddings, embeddings) +print(similarities.shape) +# [3, 3] +``` + + + + + + + +## Evaluation + +### Metrics + +#### Semantic Similarity +* Dataset: `sts-test` +* Evaluated with [EmbeddingSimilarityEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) + +| Metric | Value | +|:--------------------|:-----------| +| pearson_cosine | 0.6549 | +| **spearman_cosine** | **0.6617** | +| pearson_manhattan | 0.6703 | +| spearman_manhattan | 0.6646 | +| pearson_euclidean | 0.667 | +| spearman_euclidean | 0.6619 | +| pearson_dot | 0.6541 | +| spearman_dot | 0.6612 | +| pearson_max | 0.6703 | +| spearman_max | 0.6646 | + +#### Binary Classification +* Dataset: `allNLI-dev` +* Evaluated with [BinaryClassificationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.BinaryClassificationEvaluator) + +| Metric | Value | +|:-----------------------------|:-----------| +| cosine_accuracy | 0.6953 | +| cosine_accuracy_threshold | 0.9145 | +| cosine_f1 | 0.5604 | +| cosine_f1_threshold | 0.8175 | +| cosine_precision | 0.4624 | +| cosine_recall | 0.711 | +| cosine_ap | 0.5213 | +| dot_accuracy | 0.6934 | +| dot_accuracy_threshold | 700.8073 | +| dot_f1 | 0.5541 | +| dot_f1_threshold | 623.187 | +| dot_precision | 0.4539 | +| dot_recall | 0.711 | +| dot_ap | 0.5187 | +| manhattan_accuracy | 0.6914 | +| manhattan_accuracy_threshold | 245.1361 | +| manhattan_f1 | 0.5584 | +| manhattan_f1_threshold | 360.3311 | +| manhattan_precision | 0.4464 | +| manhattan_recall | 0.7457 | +| manhattan_ap | 0.5194 | +| euclidean_accuracy | 0.6953 | +| euclidean_accuracy_threshold | 11.4458 | +| euclidean_f1 | 0.5604 | +| euclidean_f1_threshold | 16.6887 | +| euclidean_precision | 0.4624 | +| euclidean_recall | 0.711 | +| euclidean_ap | 0.521 | +| max_accuracy | 0.6953 | +| max_accuracy_threshold | 700.8073 | +| max_f1 | 0.5604 | +| max_f1_threshold | 623.187 | +| max_precision | 0.4624 | +| max_recall | 0.7457 | +| **max_ap** | **0.5213** | + +#### Binary Classification +* Dataset: `Qnli-dev` +* Evaluated with [BinaryClassificationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.BinaryClassificationEvaluator) + +| Metric | Value | +|:-----------------------------|:-----------| +| cosine_accuracy | 0.6797 | +| cosine_accuracy_threshold | 0.7961 | +| cosine_f1 | 0.6924 | +| cosine_f1_threshold | 0.7081 | +| cosine_precision | 0.5584 | +| cosine_recall | 0.911 | +| cosine_ap | 0.704 | +| dot_accuracy | 0.6777 | +| dot_accuracy_threshold | 606.169 | +| dot_f1 | 0.6939 | +| dot_f1_threshold | 547.9747 | +| dot_precision | 0.5653 | +| dot_recall | 0.8983 | +| dot_ap | 0.7004 | +| manhattan_accuracy | 0.6973 | +| manhattan_accuracy_threshold | 376.2119 | +| manhattan_f1 | 0.6949 | +| manhattan_f1_threshold | 439.9167 | +| manhattan_precision | 0.565 | +| manhattan_recall | 0.9025 | +| manhattan_ap | 0.7134 | +| euclidean_accuracy | 0.6797 | +| euclidean_accuracy_threshold | 17.6207 | +| euclidean_f1 | 0.6935 | +| euclidean_f1_threshold | 20.9969 | +| euclidean_precision | 0.5599 | +| euclidean_recall | 0.911 | +| euclidean_ap | 0.7045 | +| max_accuracy | 0.6973 | +| max_accuracy_threshold | 606.169 | +| max_f1 | 0.6949 | +| max_f1_threshold | 547.9747 | +| max_precision | 0.5653 | +| max_recall | 0.911 | +| **max_ap** | **0.7134** | + + + + + +## Training Details + +### Training Dataset + +#### Unnamed Dataset + + +* Size: 32,500 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Which river flows through the Grand Canyon | Rivers and Streams - Grand Canyon National Park (U.S. National Park Service) Rivers and Streams Rivers and Streams Rivers and Streams Water is a vital natural resource, particularly in the arid southwest. Most of the flow of the Colorado River through Grand Canyon originates in the Rocky Mountain region. From its origin to its mouth in the Gulf of California, many hands have claimed the Colorado waters for such purposes as irrigation and water supply. The Colorado River within the boundaries of Grand Canyon National Park drains an area of approximately 41,070 square miles. The major perennial streams feeding into the Colorado (such as Kanab and Havasu creeks, the Little Colorado River and the Paria River) are related to large perennial spring systems on both the north and south sides of the Canyon. However, the majority of water sources are intermittent or ephemeral in nature. The availability of water in these individual systems is closely related to geologic structure, seasonality and annual precipitation. Knowledge of all water sources within Grand Canyon is incomplete. A partial inventory was done in 1979 over a 1,881 square mile area of the park which found 57 perennial water sources, 21 of which are streams and 36 which are seeps. Specific geologic layers, such as the Muav limestone, are the most common sources for these perennial waters. | + | e. in solids the atoms are closely locked in position and can only vibrate, in liquids the atoms and molecules are more loosely connected and can collide with and move past one another, while in gases the atoms or molecules are free to move independently, colliding frequently. | Within a substance, atoms that collide frequently and move independently of one another are most likely in a gas | + | Colin `` Ratman '' Edwards was born on 9th March 1961 . | `` } } Colin `` '' Ratman '' '' Edwards ( born March 9 , 1961 ) is an American college football coach . '' | +* Loss: [GISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) with these parameters: + ```json + {'guide': SentenceTransformer( + (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel + (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +### Evaluation Dataset + +#### Unnamed Dataset + + +* Size: 1,664 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:--------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | What is the term for a random change in allele frequencies that occurs in a small population? | Genetic drift is a random change in allele frequencies that occurs in a small population. When a small number of parents produce just a few offspring, allele frequencies in the offspring may differ, by chance, from allele frequencies in the parents. | + | Diffusion Diffusion is a process where atoms or molecules move from areas of high concentration to areas of low concentration. | Diffusion is the process in which a substance naturally moves from an area of higher to lower concentration. | + | ‘The Hunting of the …’what’? is a poem by Lewis Carroll? | Lewis Carroll - Lewis Carroll Poems - Poem Hunter Lewis Carroll - Lewis Carroll Poems - Poem Hunter Do you like this poet? Lewis Carroll Poems A Strange Wild Song  He thought he saw an Elephant That ... The Crocodile  How doth the little crocodile Improve his ... A Game Of Fives  Five little girls, of Five, Four, Three, Two,... My Fancy  I painted her a gushing thing, With years about a ... Little Birds  Little Birds are dining Warily and well, Hid ... Brother And Sister  "SISTER, sister, go to bed! Go and rest ... All poems of Lewis Carroll » Search in the poems of Lewis Carroll: Charles Lutwidge Dodgson better known by the pseudonym Lewis Carroll, was an English author, mathematician, logician, Anglican deacon and photographer. His most famous writings are Alice's Adventures in Wonderland and its sequel Through the Looking-Glass, as well as the poems "The Hunting of the Snark" and "Jabberwocky", all examples of the genre of literary nonsense. He is noted for his facility at word play, logic, and fantasy, and there are societies dedicated to the enjoyment and promotion of his works and the investigation of his life in many parts of the world, including the United Kingdom, Japan, the United States, and New ... more » Click here to add this poet to your My Favorite Poets. | +* Loss: [GISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) with these parameters: + ```json + {'guide': SentenceTransformer( + (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel + (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +### Training Hyperparameters +#### Non-Default Hyperparameters + +- `eval_strategy`: steps +- `per_device_train_batch_size`: 32 +- `per_device_eval_batch_size`: 256 +- `lr_scheduler_type`: cosine_with_min_lr +- `lr_scheduler_kwargs`: {'num_cycles': 0.5, 'min_lr': 3.3333333333333337e-06} +- `warmup_ratio`: 0.33 +- `save_safetensors`: False +- `fp16`: True +- `push_to_hub`: True +- `hub_model_id`: bobox/DeBERTa3-s-CustomPoolin-toytest2-step1-checkpoints-tmp +- `hub_strategy`: all_checkpoints +- `batch_sampler`: no_duplicates + +#### All Hyperparameters +
Click to expand + +- `overwrite_output_dir`: False +- `do_predict`: False +- `eval_strategy`: steps +- `prediction_loss_only`: True +- `per_device_train_batch_size`: 32 +- `per_device_eval_batch_size`: 256 +- `per_gpu_train_batch_size`: None +- `per_gpu_eval_batch_size`: None +- `gradient_accumulation_steps`: 1 +- `eval_accumulation_steps`: None +- `torch_empty_cache_steps`: None +- `learning_rate`: 5e-05 +- `weight_decay`: 0.0 +- `adam_beta1`: 0.9 +- `adam_beta2`: 0.999 +- `adam_epsilon`: 1e-08 +- `max_grad_norm`: 1.0 +- `num_train_epochs`: 3 +- `max_steps`: -1 +- `lr_scheduler_type`: cosine_with_min_lr +- `lr_scheduler_kwargs`: {'num_cycles': 0.5, 'min_lr': 3.3333333333333337e-06} +- `warmup_ratio`: 0.33 +- `warmup_steps`: 0 +- `log_level`: passive +- `log_level_replica`: warning +- `log_on_each_node`: True +- `logging_nan_inf_filter`: True +- `save_safetensors`: False +- `save_on_each_node`: False +- `save_only_model`: False +- `restore_callback_states_from_checkpoint`: False +- `no_cuda`: False +- `use_cpu`: False +- `use_mps_device`: False +- `seed`: 42 +- `data_seed`: None +- `jit_mode_eval`: False +- `use_ipex`: False +- `bf16`: False +- `fp16`: True +- `fp16_opt_level`: O1 +- `half_precision_backend`: auto +- `bf16_full_eval`: False +- `fp16_full_eval`: False +- `tf32`: None +- `local_rank`: 0 +- `ddp_backend`: None +- `tpu_num_cores`: None +- `tpu_metrics_debug`: False +- `debug`: [] +- `dataloader_drop_last`: False +- `dataloader_num_workers`: 0 +- `dataloader_prefetch_factor`: None +- `past_index`: -1 +- `disable_tqdm`: False +- `remove_unused_columns`: True +- `label_names`: None +- `load_best_model_at_end`: False +- `ignore_data_skip`: False +- `fsdp`: [] +- `fsdp_min_num_params`: 0 +- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} +- `fsdp_transformer_layer_cls_to_wrap`: None +- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} +- `deepspeed`: None +- `label_smoothing_factor`: 0.0 +- `optim`: adamw_torch +- `optim_args`: None +- `adafactor`: False +- `group_by_length`: False +- `length_column_name`: length +- `ddp_find_unused_parameters`: None +- `ddp_bucket_cap_mb`: None +- `ddp_broadcast_buffers`: False +- `dataloader_pin_memory`: True +- `dataloader_persistent_workers`: False +- `skip_memory_metrics`: True +- `use_legacy_prediction_loop`: False +- `push_to_hub`: True +- `resume_from_checkpoint`: None +- `hub_model_id`: bobox/DeBERTa3-s-CustomPoolin-toytest2-step1-checkpoints-tmp +- `hub_strategy`: all_checkpoints +- `hub_private_repo`: False +- `hub_always_push`: False +- `gradient_checkpointing`: False +- `gradient_checkpointing_kwargs`: None +- `include_inputs_for_metrics`: False +- `eval_do_concat_batches`: True +- `fp16_backend`: auto +- `push_to_hub_model_id`: None +- `push_to_hub_organization`: None +- `mp_parameters`: +- `auto_find_batch_size`: False +- `full_determinism`: False +- `torchdynamo`: None +- `ray_scope`: last +- `ddp_timeout`: 1800 +- `torch_compile`: False +- `torch_compile_backend`: None +- `torch_compile_mode`: None +- `dispatch_batches`: None +- `split_batches`: None +- `include_tokens_per_second`: False +- `include_num_input_tokens_seen`: False +- `neftune_noise_alpha`: None +- `optim_target_modules`: None +- `batch_eval_metrics`: False +- `eval_on_start`: False +- `eval_use_gather_object`: False +- `batch_sampler`: no_duplicates +- `multi_dataset_batch_sampler`: proportional + +
+ +### Training Logs +
Click to expand + +| Epoch | Step | Training Loss | Validation Loss | sts-test_spearman_cosine | allNLI-dev_max_ap | Qnli-dev_max_ap | +|:------:|:----:|:-------------:|:---------------:|:------------------------:|:-----------------:|:---------------:| +| 0.0010 | 1 | 5.5525 | - | - | - | - | +| 0.0020 | 2 | 6.2948 | - | - | - | - | +| 0.0030 | 3 | 4.6464 | - | - | - | - | +| 0.0039 | 4 | 5.0071 | - | - | - | - | +| 0.0049 | 5 | 5.3338 | - | - | - | - | +| 0.0059 | 6 | 5.1998 | - | - | - | - | +| 0.0069 | 7 | 26.7171 | - | - | - | - | +| 0.0079 | 8 | 6.8404 | - | - | - | - | +| 0.0089 | 9 | 26.8068 | - | - | - | - | +| 0.0098 | 10 | 5.7224 | - | - | - | - | +| 0.0108 | 11 | 5.9428 | - | - | - | - | +| 0.0118 | 12 | 6.7852 | - | - | - | - | +| 0.0128 | 13 | 6.505 | - | - | - | - | +| 0.0138 | 14 | 5.4793 | - | - | - | - | +| 0.0148 | 15 | 5.8316 | - | - | - | - | +| 0.0157 | 16 | 4.7716 | - | - | - | - | +| 0.0167 | 17 | 4.9198 | - | - | - | - | +| 0.0177 | 18 | 4.9205 | - | - | - | - | +| 0.0187 | 19 | 6.1949 | - | - | - | - | +| 0.0197 | 20 | 6.935 | - | - | - | - | +| 0.0207 | 21 | 26.2611 | - | - | - | - | +| 0.0217 | 22 | 6.2476 | - | - | - | - | +| 0.0226 | 23 | 5.1881 | - | - | - | - | +| 0.0236 | 24 | 4.9198 | - | - | - | - | +| 0.0246 | 25 | 25.6461 | - | - | - | - | +| 0.0256 | 26 | 25.9935 | - | - | - | - | +| 0.0266 | 27 | 6.194 | - | - | - | - | +| 0.0276 | 28 | 24.9355 | - | - | - | - | +| 0.0285 | 29 | 5.2458 | - | - | - | - | +| 0.0295 | 30 | 5.487 | - | - | - | - | +| 0.0305 | 31 | 4.3883 | - | - | - | - | +| 0.0315 | 32 | 6.4174 | - | - | - | - | +| 0.0325 | 33 | 5.9618 | - | - | - | - | +| 0.0335 | 34 | 5.1205 | - | - | - | - | +| 0.0344 | 35 | 5.6965 | - | - | - | - | +| 0.0354 | 36 | 23.4505 | - | - | - | - | +| 0.0364 | 37 | 5.2556 | - | - | - | - | +| 0.0374 | 38 | 4.9034 | - | - | - | - | +| 0.0384 | 39 | 22.9819 | - | - | - | - | +| 0.0394 | 40 | 4.5872 | - | - | - | - | +| 0.0404 | 41 | 5.0072 | - | - | - | - | +| 0.0413 | 42 | 4.3917 | - | - | - | - | +| 0.0423 | 43 | 4.0698 | - | - | - | - | +| 0.0433 | 44 | 4.9849 | - | - | - | - | +| 0.0443 | 45 | 4.9534 | - | - | - | - | +| 0.0453 | 46 | 4.7506 | - | - | - | - | +| 0.0463 | 47 | 4.6928 | - | - | - | - | +| 0.0472 | 48 | 21.0191 | - | - | - | - | +| 0.0482 | 49 | 4.5581 | - | - | - | - | +| 0.0492 | 50 | 5.8754 | - | - | - | - | +| 0.0502 | 51 | 4.4697 | - | - | - | - | +| 0.0512 | 52 | 5.1178 | - | - | - | - | +| 0.0522 | 53 | 4.7223 | - | - | - | - | +| 0.0531 | 54 | 20.0171 | - | - | - | - | +| 0.0541 | 55 | 4.5361 | - | - | - | - | +| 0.0551 | 56 | 4.2409 | - | - | - | - | +| 0.0561 | 57 | 4.8144 | - | - | - | - | +| 0.0571 | 58 | 18.6889 | - | - | - | - | +| 0.0581 | 59 | 5.1869 | - | - | - | - | +| 0.0591 | 60 | 3.9955 | - | - | - | - | +| 0.0600 | 61 | 4.705 | - | - | - | - | +| 0.0610 | 62 | 4.0126 | - | - | - | - | +| 0.0620 | 63 | 3.3997 | - | - | - | - | +| 0.0630 | 64 | 4.9795 | - | - | - | - | +| 0.0640 | 65 | 5.867 | - | - | - | - | +| 0.0650 | 66 | 4.2919 | - | - | - | - | +| 0.0659 | 67 | 4.4194 | - | - | - | - | +| 0.0669 | 68 | 4.2895 | - | - | - | - | +| 0.0679 | 69 | 16.8972 | - | - | - | - | +| 0.0689 | 70 | 4.6964 | - | - | - | - | +| 0.0699 | 71 | 3.9401 | - | - | - | - | +| 0.0709 | 72 | 3.9605 | - | - | - | - | +| 0.0719 | 73 | 4.1512 | - | - | - | - | +| 0.0728 | 74 | 16.3885 | - | - | - | - | +| 0.0738 | 75 | 3.7214 | - | - | - | - | +| 0.0748 | 76 | 3.6038 | - | - | - | - | +| 0.0758 | 77 | 4.1485 | - | - | - | - | +| 0.0768 | 78 | 3.7848 | - | - | - | - | +| 0.0778 | 79 | 4.679 | - | - | - | - | +| 0.0787 | 80 | 14.9568 | - | - | - | - | +| 0.0797 | 81 | 4.1834 | - | - | - | - | +| 0.0807 | 82 | 4.6593 | - | - | - | - | +| 0.0817 | 83 | 3.5834 | - | - | - | - | +| 0.0827 | 84 | 3.9454 | - | - | - | - | +| 0.0837 | 85 | 4.1069 | - | - | - | - | +| 0.0846 | 86 | 3.8427 | - | - | - | - | +| 0.0856 | 87 | 4.1385 | - | - | - | - | +| 0.0866 | 88 | 3.678 | - | - | - | - | +| 0.0876 | 89 | 4.6092 | - | - | - | - | +| 0.0886 | 90 | 13.5522 | - | - | - | - | +| 0.0896 | 91 | 3.091 | - | - | - | - | +| 0.0906 | 92 | 4.1669 | - | - | - | - | +| 0.0915 | 93 | 3.9135 | - | - | - | - | +| 0.0925 | 94 | 13.7737 | - | - | - | - | +| 0.0935 | 95 | 3.7046 | - | - | - | - | +| 0.0945 | 96 | 4.2823 | - | - | - | - | +| 0.0955 | 97 | 3.5464 | - | - | - | - | +| 0.0965 | 98 | 4.3904 | - | - | - | - | +| 0.0974 | 99 | 4.3634 | - | - | - | - | +| 0.0984 | 100 | 3.974 | - | - | - | - | +| 0.0994 | 101 | 3.2875 | - | - | - | - | +| 0.1004 | 102 | 3.7778 | - | - | - | - | +| 0.1014 | 103 | 3.6514 | - | - | - | - | +| 0.1024 | 104 | 4.0938 | - | - | - | - | +| 0.1033 | 105 | 3.7483 | - | - | - | - | +| 0.1043 | 106 | 3.857 | - | - | - | - | +| 0.1053 | 107 | 4.01 | - | - | - | - | +| 0.1063 | 108 | 3.0828 | - | - | - | - | +| 0.1073 | 109 | 3.5559 | - | - | - | - | +| 0.1083 | 110 | 13.298 | - | - | - | - | +| 0.1093 | 111 | 3.8423 | - | - | - | - | +| 0.1102 | 112 | 3.7067 | - | - | - | - | +| 0.1112 | 113 | 3.6174 | - | - | - | - | +| 0.1122 | 114 | 4.1381 | - | - | - | - | +| 0.1132 | 115 | 5.5301 | - | - | - | - | +| 0.1142 | 116 | 3.8449 | - | - | - | - | +| 0.1152 | 117 | 3.2364 | - | - | - | - | +| 0.1161 | 118 | 3.875 | - | - | - | - | +| 0.1171 | 119 | 14.9283 | - | - | - | - | +| 0.1181 | 120 | 3.4704 | - | - | - | - | +| 0.1191 | 121 | 3.6903 | - | - | - | - | +| 0.1201 | 122 | 3.6518 | - | - | - | - | +| 0.1211 | 123 | 3.6259 | - | - | - | - | +| 0.1220 | 124 | 14.6407 | - | - | - | - | +| 0.1230 | 125 | 3.6638 | - | - | - | - | +| 0.1240 | 126 | 3.5541 | - | - | - | - | +| 0.125 | 127 | 13.1452 | - | - | - | - | +| 0.1260 | 128 | 3.2458 | - | - | - | - | +| 0.1270 | 129 | 12.2948 | - | - | - | - | +| 0.1280 | 130 | 3.1747 | - | - | - | - | +| 0.1289 | 131 | 3.2047 | - | - | - | - | +| 0.1299 | 132 | 3.3273 | - | - | - | - | +| 0.1309 | 133 | 3.7355 | - | - | - | - | +| 0.1319 | 134 | 3.4228 | - | - | - | - | +| 0.1329 | 135 | 3.5149 | - | - | - | - | +| 0.1339 | 136 | 3.1236 | - | - | - | - | +| 0.1348 | 137 | 12.2603 | - | - | - | - | +| 0.1358 | 138 | 12.36 | - | - | - | - | +| 0.1368 | 139 | 3.4953 | - | - | - | - | +| 0.1378 | 140 | 3.7484 | - | - | - | - | +| 0.1388 | 141 | 3.6234 | - | - | - | - | +| 0.1398 | 142 | 11.2821 | - | - | - | - | +| 0.1407 | 143 | 3.0984 | - | - | - | - | +| 0.1417 | 144 | 3.5274 | - | - | - | - | +| 0.1427 | 145 | 3.3123 | - | - | - | - | +| 0.1437 | 146 | 3.4145 | - | - | - | - | +| 0.1447 | 147 | 10.6589 | - | - | - | - | +| 0.1457 | 148 | 3.1544 | - | - | - | - | +| 0.1467 | 149 | 3.5877 | - | - | - | - | +| 0.1476 | 150 | 3.2683 | - | - | - | - | +| 0.1486 | 151 | 3.5216 | - | - | - | - | +| 0.1496 | 152 | 10.2844 | - | - | - | - | +| 0.1506 | 153 | 3.6084 | 3.3193 | 0.2517 | 0.4121 | 0.5815 | +| 0.1516 | 154 | 3.7025 | - | - | - | - | +| 0.1526 | 155 | 3.2625 | - | - | - | - | +| 0.1535 | 156 | 3.0366 | - | - | - | - | +| 0.1545 | 157 | 9.183 | - | - | - | - | +| 0.1555 | 158 | 3.5048 | - | - | - | - | +| 0.1565 | 159 | 9.8654 | - | - | - | - | +| 0.1575 | 160 | 3.0458 | - | - | - | - | +| 0.1585 | 161 | 2.7602 | - | - | - | - | +| 0.1594 | 162 | 3.4081 | - | - | - | - | +| 0.1604 | 163 | 3.6212 | - | - | - | - | +| 0.1614 | 164 | 3.625 | - | - | - | - | +| 0.1624 | 165 | 3.9519 | - | - | - | - | +| 0.1634 | 166 | 9.3491 | - | - | - | - | +| 0.1644 | 167 | 2.7756 | - | - | - | - | +| 0.1654 | 168 | 2.9741 | - | - | - | - | +| 0.1663 | 169 | 3.6422 | - | - | - | - | +| 0.1673 | 170 | 3.3038 | - | - | - | - | +| 0.1683 | 171 | 2.8385 | - | - | - | - | +| 0.1693 | 172 | 3.1081 | - | - | - | - | +| 0.1703 | 173 | 3.4009 | - | - | - | - | +| 0.1713 | 174 | 2.7715 | - | - | - | - | +| 0.1722 | 175 | 3.1816 | - | - | - | - | +| 0.1732 | 176 | 3.0486 | - | - | - | - | +| 0.1742 | 177 | 2.8444 | - | - | - | - | +| 0.1752 | 178 | 12.6448 | - | - | - | - | +| 0.1762 | 179 | 3.0867 | - | - | - | - | +| 0.1772 | 180 | 2.8874 | - | - | - | - | +| 0.1781 | 181 | 2.8767 | - | - | - | - | +| 0.1791 | 182 | 3.1107 | - | - | - | - | +| 0.1801 | 183 | 2.3596 | - | - | - | - | +| 0.1811 | 184 | 2.6352 | - | - | - | - | +| 0.1821 | 185 | 2.8008 | - | - | - | - | +| 0.1831 | 186 | 2.7295 | - | - | - | - | +| 0.1841 | 187 | 12.2772 | - | - | - | - | +| 0.1850 | 188 | 2.6023 | - | - | - | - | +| 0.1860 | 189 | 3.27 | - | - | - | - | +| 0.1870 | 190 | 3.1023 | - | - | - | - | +| 0.1880 | 191 | 15.7886 | - | - | - | - | +| 0.1890 | 192 | 2.8468 | - | - | - | - | +| 0.1900 | 193 | 2.1157 | - | - | - | - | +| 0.1909 | 194 | 12.1402 | - | - | - | - | +| 0.1919 | 195 | 10.5477 | - | - | - | - | +| 0.1929 | 196 | 2.8112 | - | - | - | - | +| 0.1939 | 197 | 11.2557 | - | - | - | - | +| 0.1949 | 198 | 2.629 | - | - | - | - | +| 0.1959 | 199 | 3.1383 | - | - | - | - | +| 0.1969 | 200 | 9.7592 | - | - | - | - | +| 0.1978 | 201 | 2.9253 | - | - | - | - | +| 0.1988 | 202 | 2.9712 | - | - | - | - | +| 0.1998 | 203 | 2.8585 | - | - | - | - | +| 0.2008 | 204 | 3.082 | - | - | - | - | +| 0.2018 | 205 | 3.2078 | - | - | - | - | +| 0.2028 | 206 | 2.4837 | - | - | - | - | +| 0.2037 | 207 | 7.7377 | - | - | - | - | +| 0.2047 | 208 | 2.3949 | - | - | - | - | +| 0.2057 | 209 | 2.7936 | - | - | - | - | +| 0.2067 | 210 | 2.5481 | - | - | - | - | +| 0.2077 | 211 | 2.8108 | - | - | - | - | +| 0.2087 | 212 | 2.6916 | - | - | - | - | +| 0.2096 | 213 | 3.3112 | - | - | - | - | +| 0.2106 | 214 | 2.6884 | - | - | - | - | +| 0.2116 | 215 | 2.4656 | - | - | - | - | +| 0.2126 | 216 | 2.3028 | - | - | - | - | +| 0.2136 | 217 | 2.4515 | - | - | - | - | +| 0.2146 | 218 | 2.7888 | - | - | - | - | +| 0.2156 | 219 | 2.7798 | - | - | - | - | +| 0.2165 | 220 | 2.2994 | - | - | - | - | +| 0.2175 | 221 | 2.4806 | - | - | - | - | +| 0.2185 | 222 | 2.6355 | - | - | - | - | +| 0.2195 | 223 | 2.4232 | - | - | - | - | +| 0.2205 | 224 | 2.6152 | - | - | - | - | +| 0.2215 | 225 | 2.6337 | - | - | - | - | +| 0.2224 | 226 | 2.4903 | - | - | - | - | +| 0.2234 | 227 | 2.3831 | - | - | - | - | +| 0.2244 | 228 | 2.1024 | - | - | - | - | +| 0.2254 | 229 | 2.7021 | - | - | - | - | +| 0.2264 | 230 | 2.3359 | - | - | - | - | +| 0.2274 | 231 | 1.9508 | - | - | - | - | +| 0.2283 | 232 | 2.061 | - | - | - | - | +| 0.2293 | 233 | 15.199 | - | - | - | - | +| 0.2303 | 234 | 14.708 | - | - | - | - | +| 0.2313 | 235 | 15.589 | - | - | - | - | +| 0.2323 | 236 | 2.4485 | - | - | - | - | +| 0.2333 | 237 | 2.1559 | - | - | - | - | +| 0.2343 | 238 | 3.0109 | - | - | - | - | +| 0.2352 | 239 | 2.2779 | - | - | - | - | +| 0.2362 | 240 | 12.1054 | - | - | - | - | +| 0.2372 | 241 | 2.7905 | - | - | - | - | +| 0.2382 | 242 | 2.2739 | - | - | - | - | +| 0.2392 | 243 | 2.0147 | - | - | - | - | +| 0.2402 | 244 | 10.8463 | - | - | - | - | +| 0.2411 | 245 | 2.4448 | - | - | - | - | +| 0.2421 | 246 | 2.1458 | - | - | - | - | +| 0.2431 | 247 | 11.9076 | - | - | - | - | +| 0.2441 | 248 | 4.2321 | - | - | - | - | +| 0.2451 | 249 | 9.6525 | - | - | - | - | +| 0.2461 | 250 | 9.5191 | - | - | - | - | +| 0.2470 | 251 | 3.0668 | - | - | - | - | +| 0.2480 | 252 | 7.0423 | - | - | - | - | +| 0.2490 | 253 | 2.4391 | - | - | - | - | +| 0.25 | 254 | 2.0855 | - | - | - | - | +| 0.2510 | 255 | 2.5628 | - | - | - | - | +| 0.2520 | 256 | 6.4129 | - | - | - | - | +| 0.2530 | 257 | 3.0284 | - | - | - | - | +| 0.2539 | 258 | 3.0393 | - | - | - | - | +| 0.2549 | 259 | 5.7205 | - | - | - | - | +| 0.2559 | 260 | 2.8864 | - | - | - | - | +| 0.2569 | 261 | 2.1274 | - | - | - | - | +| 0.2579 | 262 | 2.3253 | - | - | - | - | +| 0.2589 | 263 | 2.7868 | - | - | - | - | +| 0.2598 | 264 | 2.5113 | - | - | - | - | +| 0.2608 | 265 | 5.5063 | - | - | - | - | +| 0.2618 | 266 | 2.5678 | - | - | - | - | +| 0.2628 | 267 | 5.6321 | - | - | - | - | +| 0.2638 | 268 | 2.3219 | - | - | - | - | +| 0.2648 | 269 | 2.0576 | - | - | - | - | +| 0.2657 | 270 | 2.7055 | - | - | - | - | +| 0.2667 | 271 | 2.2286 | - | - | - | - | +| 0.2677 | 272 | 2.6628 | - | - | - | - | +| 0.2687 | 273 | 5.2455 | - | - | - | - | +| 0.2697 | 274 | 2.6966 | - | - | - | - | +| 0.2707 | 275 | 2.65 | - | - | - | - | +| 0.2717 | 276 | 2.6302 | - | - | - | - | +| 0.2726 | 277 | 2.6564 | - | - | - | - | +| 0.2736 | 278 | 2.0339 | - | - | - | - | +| 0.2746 | 279 | 2.8719 | - | - | - | - | +| 0.2756 | 280 | 2.5937 | - | - | - | - | +| 0.2766 | 281 | 5.97 | - | - | - | - | +| 0.2776 | 282 | 2.1888 | - | - | - | - | +| 0.2785 | 283 | 2.4111 | - | - | - | - | +| 0.2795 | 284 | 2.2334 | - | - | - | - | +| 0.2805 | 285 | 6.7992 | - | - | - | - | +| 0.2815 | 286 | 1.8102 | - | - | - | - | +| 0.2825 | 287 | 2.3559 | - | - | - | - | +| 0.2835 | 288 | 6.0575 | - | - | - | - | +| 0.2844 | 289 | 2.3846 | - | - | - | - | +| 0.2854 | 290 | 2.7311 | - | - | - | - | +| 0.2864 | 291 | 7.2351 | - | - | - | - | +| 0.2874 | 292 | 2.3992 | - | - | - | - | +| 0.2884 | 293 | 2.1329 | - | - | - | - | +| 0.2894 | 294 | 2.0372 | - | - | - | - | +| 0.2904 | 295 | 1.9959 | - | - | - | - | +| 0.2913 | 296 | 2.5762 | - | - | - | - | +| 0.2923 | 297 | 2.454 | - | - | - | - | +| 0.2933 | 298 | 2.4293 | - | - | - | - | +| 0.2943 | 299 | 1.6916 | - | - | - | - | +| 0.2953 | 300 | 2.0638 | - | - | - | - | +| 0.2963 | 301 | 1.967 | - | - | - | - | +| 0.2972 | 302 | 2.3572 | - | - | - | - | +| 0.2982 | 303 | 2.1485 | - | - | - | - | +| 0.2992 | 304 | 7.7883 | - | - | - | - | +| 0.3002 | 305 | 2.1426 | - | - | - | - | +| 0.3012 | 306 | 1.7839 | 2.3820 | 0.2709 | 0.4149 | 0.6115 | +| 0.3022 | 307 | 1.7923 | - | - | - | - | +| 0.3031 | 308 | 1.8325 | - | - | - | - | +| 0.3041 | 309 | 1.8853 | - | - | - | - | +| 0.3051 | 310 | 9.9739 | - | - | - | - | +| 0.3061 | 311 | 7.9147 | - | - | - | - | +| 0.3071 | 312 | 2.2901 | - | - | - | - | +| 0.3081 | 313 | 2.2322 | - | - | - | - | +| 0.3091 | 314 | 1.7877 | - | - | - | - | +| 0.3100 | 315 | 1.7058 | - | - | - | - | +| 0.3110 | 316 | 7.9885 | - | - | - | - | +| 0.3120 | 317 | 2.0856 | - | - | - | - | +| 0.3130 | 318 | 2.0736 | - | - | - | - | +| 0.3140 | 319 | 2.4477 | - | - | - | - | +| 0.3150 | 320 | 2.3418 | - | - | - | - | +| 0.3159 | 321 | 2.113 | - | - | - | - | +| 0.3169 | 322 | 9.2682 | - | - | - | - | +| 0.3179 | 323 | 8.0044 | - | - | - | - | +| 0.3189 | 324 | 6.6853 | - | - | - | - | +| 0.3199 | 325 | 1.9131 | - | - | - | - | +| 0.3209 | 326 | 1.9983 | - | - | - | - | +| 0.3219 | 327 | 2.1731 | - | - | - | - | +| 0.3228 | 328 | 1.6724 | - | - | - | - | +| 0.3238 | 329 | 1.9086 | - | - | - | - | +| 0.3248 | 330 | 1.9539 | - | - | - | - | +| 0.3258 | 331 | 5.7975 | - | - | - | - | +| 0.3268 | 332 | 1.8287 | - | - | - | - | +| 0.3278 | 333 | 1.8369 | - | - | - | - | +| 0.3287 | 334 | 1.4491 | - | - | - | - | +| 0.3297 | 335 | 1.9481 | - | - | - | - | +| 0.3307 | 336 | 6.3526 | - | - | - | - | +| 0.3317 | 337 | 2.2364 | - | - | - | - | +| 0.3327 | 338 | 1.7361 | - | - | - | - | +| 0.3337 | 339 | 2.0384 | - | - | - | - | +| 0.3346 | 340 | 1.7119 | - | - | - | - | +| 0.3356 | 341 | 2.0796 | - | - | - | - | +| 0.3366 | 342 | 1.423 | - | - | - | - | +| 0.3376 | 343 | 7.3127 | - | - | - | - | +| 0.3386 | 344 | 1.7333 | - | - | - | - | +| 0.3396 | 345 | 2.0256 | - | - | - | - | +| 0.3406 | 346 | 2.281 | - | - | - | - | +| 0.3415 | 347 | 2.6135 | - | - | - | - | +| 0.3425 | 348 | 1.7188 | - | - | - | - | +| 0.3435 | 349 | 7.2075 | - | - | - | - | +| 0.3445 | 350 | 2.2859 | - | - | - | - | +| 0.3455 | 351 | 2.3042 | - | - | - | - | +| 0.3465 | 352 | 1.8944 | - | - | - | - | +| 0.3474 | 353 | 3.2227 | - | - | - | - | +| 0.3484 | 354 | 1.9706 | - | - | - | - | +| 0.3494 | 355 | 1.4694 | - | - | - | - | +| 0.3504 | 356 | 2.6948 | - | - | - | - | +| 0.3514 | 357 | 7.2386 | - | - | - | - | +| 0.3524 | 358 | 6.7146 | - | - | - | - | +| 0.3533 | 359 | 7.1446 | - | - | - | - | +| 0.3543 | 360 | 2.1246 | - | - | - | - | +| 0.3553 | 361 | 2.2676 | - | - | - | - | +| 0.3563 | 362 | 1.8415 | - | - | - | - | +| 0.3573 | 363 | 5.9398 | - | - | - | - | +| 0.3583 | 364 | 2.022 | - | - | - | - | +| 0.3593 | 365 | 2.4997 | - | - | - | - | +| 0.3602 | 366 | 1.8627 | - | - | - | - | +| 0.3612 | 367 | 2.0428 | - | - | - | - | +| 0.3622 | 368 | 1.9337 | - | - | - | - | +| 0.3632 | 369 | 2.2796 | - | - | - | - | +| 0.3642 | 370 | 2.1442 | - | - | - | - | +| 0.3652 | 371 | 1.856 | - | - | - | - | +| 0.3661 | 372 | 5.1339 | - | - | - | - | +| 0.3671 | 373 | 2.5143 | - | - | - | - | +| 0.3681 | 374 | 1.3353 | - | - | - | - | +| 0.3691 | 375 | 1.1054 | - | - | - | - | +| 0.3701 | 376 | 5.1893 | - | - | - | - | +| 0.3711 | 377 | 1.5849 | - | - | - | - | +| 0.3720 | 378 | 1.7363 | - | - | - | - | +| 0.3730 | 379 | 6.3385 | - | - | - | - | +| 0.3740 | 380 | 1.7896 | - | - | - | - | +| 0.375 | 381 | 1.8278 | - | - | - | - | +| 0.3760 | 382 | 1.3783 | - | - | - | - | +| 0.3770 | 383 | 1.5611 | - | - | - | - | +| 0.3780 | 384 | 6.6285 | - | - | - | - | +| 0.3789 | 385 | 1.54 | - | - | - | - | +| 0.3799 | 386 | 1.4216 | - | - | - | - | +| 0.3809 | 387 | 5.1756 | - | - | - | - | +| 0.3819 | 388 | 2.2009 | - | - | - | - | +| 0.3829 | 389 | 1.8205 | - | - | - | - | +| 0.3839 | 390 | 2.437 | - | - | - | - | +| 0.3848 | 391 | 1.9934 | - | - | - | - | +| 0.3858 | 392 | 1.9723 | - | - | - | - | +| 0.3868 | 393 | 1.7051 | - | - | - | - | +| 0.3878 | 394 | 1.7474 | - | - | - | - | +| 0.3888 | 395 | 5.1513 | - | - | - | - | +| 0.3898 | 396 | 1.6779 | - | - | - | - | +| 0.3907 | 397 | 1.4055 | - | - | - | - | +| 0.3917 | 398 | 1.6386 | - | - | - | - | +| 0.3927 | 399 | 1.2141 | - | - | - | - | +| 0.3937 | 400 | 6.2437 | - | - | - | - | +| 0.3947 | 401 | 1.3342 | - | - | - | - | +| 0.3957 | 402 | 1.5153 | - | - | - | - | +| 0.3967 | 403 | 1.4861 | - | - | - | - | +| 0.3976 | 404 | 1.6596 | - | - | - | - | +| 0.3986 | 405 | 6.3475 | - | - | - | - | +| 0.3996 | 406 | 1.7669 | - | - | - | - | +| 0.4006 | 407 | 1.5388 | - | - | - | - | +| 0.4016 | 408 | 1.6276 | - | - | - | - | +| 0.4026 | 409 | 1.4932 | - | - | - | - | +| 0.4035 | 410 | 7.097 | - | - | - | - | +| 0.4045 | 411 | 1.4621 | - | - | - | - | +| 0.4055 | 412 | 5.6547 | - | - | - | - | +| 0.4065 | 413 | 5.7338 | - | - | - | - | +| 0.4075 | 414 | 1.2834 | - | - | - | - | +| 0.4085 | 415 | 1.8426 | - | - | - | - | +| 0.4094 | 416 | 1.6923 | - | - | - | - | +| 0.4104 | 417 | 1.7412 | - | - | - | - | +| 0.4114 | 418 | 1.5589 | - | - | - | - | +| 0.4124 | 419 | 1.2435 | - | - | - | - | +| 0.4134 | 420 | 1.9214 | - | - | - | - | +| 0.4144 | 421 | 1.432 | - | - | - | - | +| 0.4154 | 422 | 1.643 | - | - | - | - | +| 0.4163 | 423 | 1.7221 | - | - | - | - | +| 0.4173 | 424 | 1.6566 | - | - | - | - | +| 0.4183 | 425 | 5.7164 | - | - | - | - | +| 0.4193 | 426 | 1.3455 | - | - | - | - | +| 0.4203 | 427 | 1.2572 | - | - | - | - | +| 0.4213 | 428 | 1.3673 | - | - | - | - | +| 0.4222 | 429 | 4.6922 | - | - | - | - | +| 0.4232 | 430 | 1.5377 | - | - | - | - | +| 0.4242 | 431 | 6.0487 | - | - | - | - | +| 0.4252 | 432 | 6.3802 | - | - | - | - | +| 0.4262 | 433 | 5.7241 | - | - | - | - | +| 0.4272 | 434 | 4.4259 | - | - | - | - | +| 0.4281 | 435 | 1.4789 | - | - | - | - | +| 0.4291 | 436 | 2.1121 | - | - | - | - | +| 0.4301 | 437 | 1.5906 | - | - | - | - | +| 0.4311 | 438 | 1.6671 | - | - | - | - | +| 0.4321 | 439 | 1.5505 | - | - | - | - | +| 0.4331 | 440 | 3.6253 | - | - | - | - | +| 0.4341 | 441 | 2.1088 | - | - | - | - | +| 0.4350 | 442 | 1.8861 | - | - | - | - | +| 0.4360 | 443 | 1.377 | - | - | - | - | +| 0.4370 | 444 | 1.7832 | - | - | - | - | +| 0.4380 | 445 | 2.1039 | - | - | - | - | +| 0.4390 | 446 | 1.5845 | - | - | - | - | +| 0.4400 | 447 | 1.5359 | - | - | - | - | +| 0.4409 | 448 | 2.0012 | - | - | - | - | +| 0.4419 | 449 | 3.5535 | - | - | - | - | +| 0.4429 | 450 | 1.8301 | - | - | - | - | +| 0.4439 | 451 | 1.5625 | - | - | - | - | +| 0.4449 | 452 | 1.9825 | - | - | - | - | +| 0.4459 | 453 | 1.404 | - | - | - | - | +| 0.4469 | 454 | 1.1998 | - | - | - | - | +| 0.4478 | 455 | 3.9972 | - | - | - | - | +| 0.4488 | 456 | 2.01 | - | - | - | - | +| 0.4498 | 457 | 1.3631 | - | - | - | - | +| 0.4508 | 458 | 1.3897 | - | - | - | - | +| 0.4518 | 459 | 3.3806 | 1.9934 | 0.3370 | 0.4341 | 0.6312 | +| 0.4528 | 460 | 1.9031 | - | - | - | - | +| 0.4537 | 461 | 2.1993 | - | - | - | - | +| 0.4547 | 462 | 1.4149 | - | - | - | - | +| 0.4557 | 463 | 1.2881 | - | - | - | - | +| 0.4567 | 464 | 5.0921 | - | - | - | - | +| 0.4577 | 465 | 3.8827 | - | - | - | - | +| 0.4587 | 466 | 1.5278 | - | - | - | - | +| 0.4596 | 467 | 1.5084 | - | - | - | - | +| 0.4606 | 468 | 1.5728 | - | - | - | - | +| 0.4616 | 469 | 1.3861 | - | - | - | - | +| 0.4626 | 470 | 1.2923 | - | - | - | - | +| 0.4636 | 471 | 1.8902 | - | - | - | - | +| 0.4646 | 472 | 1.7272 | - | - | - | - | +| 0.4656 | 473 | 1.292 | - | - | - | - | +| 0.4665 | 474 | 1.2791 | - | - | - | - | +| 0.4675 | 475 | 1.8328 | - | - | - | - | +| 0.4685 | 476 | 1.5654 | - | - | - | - | +| 0.4695 | 477 | 0.865 | - | - | - | - | +| 0.4705 | 478 | 1.47 | - | - | - | - | +| 0.4715 | 479 | 1.7305 | - | - | - | - | +| 0.4724 | 480 | 2.009 | - | - | - | - | +| 0.4734 | 481 | 1.4719 | - | - | - | - | +| 0.4744 | 482 | 1.6774 | - | - | - | - | +| 0.4754 | 483 | 3.9534 | - | - | - | - | +| 0.4764 | 484 | 1.7503 | - | - | - | - | +| 0.4774 | 485 | 1.4652 | - | - | - | - | +| 0.4783 | 486 | 1.4057 | - | - | - | - | +| 0.4793 | 487 | 1.7381 | - | - | - | - | +| 0.4803 | 488 | 3.1813 | - | - | - | - | +| 0.4813 | 489 | 1.6575 | - | - | - | - | +| 0.4823 | 490 | 1.2314 | - | - | - | - | +| 0.4833 | 491 | 5.9239 | - | - | - | - | +| 0.4843 | 492 | 2.1689 | - | - | - | - | +| 0.4852 | 493 | 1.5536 | - | - | - | - | +| 0.4862 | 494 | 4.2167 | - | - | - | - | +| 0.4872 | 495 | 1.3489 | - | - | - | - | +| 0.4882 | 496 | 1.6137 | - | - | - | - | +| 0.4892 | 497 | 1.3183 | - | - | - | - | +| 0.4902 | 498 | 3.9189 | - | - | - | - | +| 0.4911 | 499 | 3.003 | - | - | - | - | +| 0.4921 | 500 | 1.3985 | - | - | - | - | +| 0.4931 | 501 | 1.1173 | - | - | - | - | +| 0.4941 | 502 | 0.9892 | - | - | - | - | +| 0.4951 | 503 | 1.6817 | - | - | - | - | +| 0.4961 | 504 | 1.1026 | - | - | - | - | +| 0.4970 | 505 | 3.0063 | - | - | - | - | +| 0.4980 | 506 | 1.4292 | - | - | - | - | +| 0.4990 | 507 | 1.8554 | - | - | - | - | +| 0.5 | 508 | 1.419 | - | - | - | - | +| 0.5010 | 509 | 1.2399 | - | - | - | - | +| 0.5020 | 510 | 1.2939 | - | - | - | - | +| 0.5030 | 511 | 1.4505 | - | - | - | - | +| 0.5039 | 512 | 1.0514 | - | - | - | - | +| 0.5049 | 513 | 1.2327 | - | - | - | - | +| 0.5059 | 514 | 1.3414 | - | - | - | - | +| 0.5069 | 515 | 1.3721 | - | - | - | - | +| 0.5079 | 516 | 5.4099 | - | - | - | - | +| 0.5089 | 517 | 1.0425 | - | - | - | - | +| 0.5098 | 518 | 4.6786 | - | - | - | - | +| 0.5108 | 519 | 0.9301 | - | - | - | - | +| 0.5118 | 520 | 1.3494 | - | - | - | - | +| 0.5128 | 521 | 1.158 | - | - | - | - | +| 0.5138 | 522 | 1.0346 | - | - | - | - | +| 0.5148 | 523 | 1.3054 | - | - | - | - | +| 0.5157 | 524 | 1.1146 | - | - | - | - | +| 0.5167 | 525 | 1.1232 | - | - | - | - | +| 0.5177 | 526 | 1.9019 | - | - | - | - | +| 0.5187 | 527 | 0.7564 | - | - | - | - | +| 0.5197 | 528 | 1.2245 | - | - | - | - | +| 0.5207 | 529 | 1.2729 | - | - | - | - | +| 0.5217 | 530 | 1.3485 | - | - | - | - | +| 0.5226 | 531 | 1.3507 | - | - | - | - | +| 0.5236 | 532 | 1.1656 | - | - | - | - | +| 0.5246 | 533 | 5.7052 | - | - | - | - | +| 0.5256 | 534 | 1.2702 | - | - | - | - | +| 0.5266 | 535 | 1.5765 | - | - | - | - | +| 0.5276 | 536 | 1.1904 | - | - | - | - | +| 0.5285 | 537 | 1.2439 | - | - | - | - | +| 0.5295 | 538 | 1.3851 | - | - | - | - | +| 0.5305 | 539 | 5.4258 | - | - | - | - | +| 0.5315 | 540 | 6.0733 | - | - | - | - | +| 0.5325 | 541 | 1.1416 | - | - | - | - | +| 0.5335 | 542 | 1.6498 | - | - | - | - | +| 0.5344 | 543 | 1.9752 | - | - | - | - | +| 0.5354 | 544 | 5.0479 | - | - | - | - | +| 0.5364 | 545 | 1.4322 | - | - | - | - | +| 0.5374 | 546 | 1.1549 | - | - | - | - | +| 0.5384 | 547 | 1.623 | - | - | - | - | +| 0.5394 | 548 | 1.2541 | - | - | - | - | +| 0.5404 | 549 | 1.3253 | - | - | - | - | +| 0.5413 | 550 | 1.4802 | - | - | - | - | +| 0.5423 | 551 | 0.993 | - | - | - | - | +| 0.5433 | 552 | 1.2354 | - | - | - | - | +| 0.5443 | 553 | 0.7297 | - | - | - | - | +| 0.5453 | 554 | 5.1613 | - | - | - | - | +| 0.5463 | 555 | 1.0977 | - | - | - | - | +| 0.5472 | 556 | 1.0681 | - | - | - | - | +| 0.5482 | 557 | 5.1421 | - | - | - | - | +| 0.5492 | 558 | 1.1879 | - | - | - | - | +| 0.5502 | 559 | 1.106 | - | - | - | - | +| 0.5512 | 560 | 4.4247 | - | - | - | - | +| 0.5522 | 561 | 1.2965 | - | - | - | - | +| 0.5531 | 562 | 0.878 | - | - | - | - | +| 0.5541 | 563 | 1.3601 | - | - | - | - | +| 0.5551 | 564 | 1.4492 | - | - | - | - | +| 0.5561 | 565 | 0.9265 | - | - | - | - | +| 0.5571 | 566 | 1.2781 | - | - | - | - | +| 0.5581 | 567 | 0.8514 | - | - | - | - | +| 0.5591 | 568 | 1.3312 | - | - | - | - | +| 0.5600 | 569 | 1.9533 | - | - | - | - | +| 0.5610 | 570 | 0.9773 | - | - | - | - | +| 0.5620 | 571 | 1.5187 | - | - | - | - | +| 0.5630 | 572 | 1.1786 | - | - | - | - | +| 0.5640 | 573 | 1.1154 | - | - | - | - | +| 0.5650 | 574 | 0.9937 | - | - | - | - | +| 0.5659 | 575 | 3.9975 | - | - | - | - | +| 0.5669 | 576 | 0.8966 | - | - | - | - | +| 0.5679 | 577 | 3.9168 | - | - | - | - | +| 0.5689 | 578 | 1.0795 | - | - | - | - | +| 0.5699 | 579 | 0.8258 | - | - | - | - | +| 0.5709 | 580 | 2.9027 | - | - | - | - | +| 0.5719 | 581 | 3.9928 | - | - | - | - | +| 0.5728 | 582 | 1.0328 | - | - | - | - | +| 0.5738 | 583 | 3.5106 | - | - | - | - | +| 0.5748 | 584 | 1.0963 | - | - | - | - | +| 0.5758 | 585 | 3.2798 | - | - | - | - | +| 0.5768 | 586 | 1.3846 | - | - | - | - | +| 0.5778 | 587 | 1.4765 | - | - | - | - | +| 0.5787 | 588 | 1.5319 | - | - | - | - | +| 0.5797 | 589 | 0.8532 | - | - | - | - | +| 0.5807 | 590 | 0.9573 | - | - | - | - | +| 0.5817 | 591 | 1.2687 | - | - | - | - | +| 0.5827 | 592 | 2.5192 | - | - | - | - | +| 0.5837 | 593 | 1.3108 | - | - | - | - | +| 0.5846 | 594 | 1.7258 | - | - | - | - | +| 0.5856 | 595 | 0.9112 | - | - | - | - | +| 0.5866 | 596 | 1.2594 | - | - | - | - | +| 0.5876 | 597 | 2.8427 | - | - | - | - | +| 0.5886 | 598 | 0.7377 | - | - | - | - | +| 0.5896 | 599 | 1.0449 | - | - | - | - | +| 0.5906 | 600 | 3.2569 | - | - | - | - | +| 0.5915 | 601 | 1.0936 | - | - | - | - | +| 0.5925 | 602 | 1.0935 | - | - | - | - | +| 0.5935 | 603 | 1.5585 | - | - | - | - | +| 0.5945 | 604 | 0.8383 | - | - | - | - | +| 0.5955 | 605 | 0.9299 | - | - | - | - | +| 0.5965 | 606 | 1.2652 | - | - | - | - | +| 0.5974 | 607 | 0.9225 | - | - | - | - | +| 0.5984 | 608 | 1.2258 | - | - | - | - | +| 0.5994 | 609 | 1.0937 | - | - | - | - | +| 0.6004 | 610 | 1.0317 | - | - | - | - | +| 0.6014 | 611 | 0.9925 | - | - | - | - | +| 0.6024 | 612 | 1.0347 | 1.6341 | 0.4216 | 0.4654 | 0.6537 | +| 0.6033 | 613 | 0.7597 | - | - | - | - | +| 0.6043 | 614 | 4.1533 | - | - | - | - | +| 0.6053 | 615 | 0.9556 | - | - | - | - | +| 0.6063 | 616 | 1.3079 | - | - | - | - | +| 0.6073 | 617 | 1.5096 | - | - | - | - | +| 0.6083 | 618 | 3.8311 | - | - | - | - | +| 0.6093 | 619 | 1.379 | - | - | - | - | +| 0.6102 | 620 | 3.8273 | - | - | - | - | +| 0.6112 | 621 | 1.296 | - | - | - | - | +| 0.6122 | 622 | 1.6233 | - | - | - | - | +| 0.6132 | 623 | 0.7542 | - | - | - | - | +| 0.6142 | 624 | 1.0578 | - | - | - | - | +| 0.6152 | 625 | 2.4721 | - | - | - | - | +| 0.6161 | 626 | 2.6996 | - | - | - | - | +| 0.6171 | 627 | 1.6649 | - | - | - | - | +| 0.6181 | 628 | 2.5207 | - | - | - | - | +| 0.6191 | 629 | 1.2837 | - | - | - | - | +| 0.6201 | 630 | 1.1731 | - | - | - | - | +| 0.6211 | 631 | 0.9778 | - | - | - | - | +| 0.6220 | 632 | 1.6909 | - | - | - | - | +| 0.6230 | 633 | 1.5441 | - | - | - | - | +| 0.6240 | 634 | 0.9197 | - | - | - | - | +| 0.625 | 635 | 1.781 | - | - | - | - | +| 0.6260 | 636 | 1.0285 | - | - | - | - | +| 0.6270 | 637 | 1.213 | - | - | - | - | +| 0.6280 | 638 | 1.0478 | - | - | - | - | +| 0.6289 | 639 | 1.6243 | - | - | - | - | +| 0.6299 | 640 | 1.4093 | - | - | - | - | +| 0.6309 | 641 | 1.8847 | - | - | - | - | +| 0.6319 | 642 | 1.0713 | - | - | - | - | +| 0.6329 | 643 | 0.9998 | - | - | - | - | +| 0.6339 | 644 | 0.9684 | - | - | - | - | +| 0.6348 | 645 | 2.1272 | - | - | - | - | +| 0.6358 | 646 | 1.416 | - | - | - | - | +| 0.6368 | 647 | 1.0463 | - | - | - | - | +| 0.6378 | 648 | 0.9779 | - | - | - | - | +| 0.6388 | 649 | 0.5093 | - | - | - | - | +| 0.6398 | 650 | 1.1007 | - | - | - | - | +| 0.6407 | 651 | 0.9436 | - | - | - | - | +| 0.6417 | 652 | 1.4446 | - | - | - | - | +| 0.6427 | 653 | 1.7327 | - | - | - | - | +| 0.6437 | 654 | 0.8326 | - | - | - | - | +| 0.6447 | 655 | 0.6514 | - | - | - | - | +| 0.6457 | 656 | 0.6155 | - | - | - | - | +| 0.6467 | 657 | 0.7906 | - 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| - | - | - | +| 0.6713 | 682 | 0.7908 | - | - | - | - | +| 0.6722 | 683 | 0.898 | - | - | - | - | +| 0.6732 | 684 | 1.0208 | - | - | - | - | +| 0.6742 | 685 | 1.652 | - | - | - | - | +| 0.6752 | 686 | 1.4247 | - | - | - | - | +| 0.6762 | 687 | 3.3876 | - | - | - | - | +| 0.6772 | 688 | 1.5638 | - | - | - | - | +| 0.6781 | 689 | 1.009 | - | - | - | - | +| 0.6791 | 690 | 1.1282 | - | - | - | - | +| 0.6801 | 691 | 1.2746 | - | - | - | - | +| 0.6811 | 692 | 1.1079 | - | - | - | - | +| 0.6821 | 693 | 1.1276 | - | - | - | - | +| 0.6831 | 694 | 2.5246 | - | - | - | - | +| 0.6841 | 695 | 0.807 | - | - | - | - | +| 0.6850 | 696 | 1.0713 | - | - | - | - | +| 0.6860 | 697 | 0.8295 | - | - | - | - | +| 0.6870 | 698 | 1.1652 | - | - | - | - | +| 0.6880 | 699 | 2.9347 | - | - | - | - | +| 0.6890 | 700 | 0.7807 | - | - | - | - | +| 0.6900 | 701 | 1.3768 | - | - | - | - | +| 0.6909 | 702 | 1.4596 | - | - | - | - | +| 0.6919 | 703 | 1.5273 | - | - | - | - | +| 0.6929 | 704 | 0.8857 | - | - | - | - | +| 0.6939 | 705 | 1.0254 | - | - | - | - | +| 0.6949 | 706 | 0.6571 | - | - | - | - | +| 0.6959 | 707 | 2.6553 | - | - | - | - | +| 0.6969 | 708 | 1.3157 | - | - | - | - | +| 0.6978 | 709 | 1.3675 | - | - | - | - | +| 0.6988 | 710 | 0.8492 | - | - | - | - | +| 0.6998 | 711 | 1.0831 | - | - | - | - | +| 0.7008 | 712 | 0.7888 | - | - | - | - | +| 0.7018 | 713 | 1.2725 | - | - | - | - | +| 0.7028 | 714 | 1.1746 | - | - | - | - | +| 0.7037 | 715 | 0.6175 | - | - | - | - | +| 0.7047 | 716 | 0.5935 | - | - | - | - | +| 0.7057 | 717 | 1.1907 | - | - | - | - | +| 0.7067 | 718 | 1.4747 | - | - | - | - | +| 0.7077 | 719 | 0.7373 | - | - | - | - | +| 0.7087 | 720 | 3.7169 | - | - | - | - | +| 0.7096 | 721 | 1.0055 | - | - | - | - | +| 0.7106 | 722 | 1.0311 | - | - | - | - | +| 0.7116 | 723 | 0.6121 | - | - | - | - | +| 0.7126 | 724 | 0.8375 | - | - | - | - | +| 0.7136 | 725 | 0.6943 | - | - | - | - | +| 0.7146 | 726 | 1.0684 | - | - | - | - | +| 0.7156 | 727 | 0.7662 | - | - | - | - | +| 0.7165 | 728 | 0.8516 | - | - | - | - | +| 0.7175 | 729 | 1.2911 | - | - | - | - | +| 0.7185 | 730 | 1.0036 | - | - | - | - | +| 0.7195 | 731 | 3.1986 | - | - | - | - | +| 0.7205 | 732 | 0.9704 | - | - | - | - | +| 0.7215 | 733 | 0.637 | - | - | - | - | +| 0.7224 | 734 | 0.5723 | - | - | - | - | +| 0.7234 | 735 | 1.0665 | - | - | - | - | +| 0.7244 | 736 | 1.0845 | - | - | - | - | +| 0.7254 | 737 | 1.0019 | - | - | - | - | +| 0.7264 | 738 | 0.616 | - | - | - | - | +| 0.7274 | 739 | 2.9126 | - | - | - | - | +| 0.7283 | 740 | 0.7203 | - | - | - | - | +| 0.7293 | 741 | 0.617 | - | - | - | - | +| 0.7303 | 742 | 4.7813 | - | - | - | - | +| 0.7313 | 743 | 0.8951 | - | - | - | - | +| 0.7323 | 744 | 0.6171 | - | - | - | - | +| 0.7333 | 745 | 0.8032 | - | - | - | - | +| 0.7343 | 746 | 1.1307 | - | - | - | - | +| 0.7352 | 747 | 3.4791 | - | - | - | - | +| 0.7362 | 748 | 1.6899 | - | - | - | - | +| 0.7372 | 749 | 0.7096 | - | - | - | - | +| 0.7382 | 750 | 0.7839 | - | - | - | - | +| 0.7392 | 751 | 1.3269 | - | - | - | - | +| 0.7402 | 752 | 1.4379 | - | - | - | - | +| 0.7411 | 753 | 1.055 | - | - | - | - | +| 0.7421 | 754 | 0.9262 | - | - | - | - | +| 0.7431 | 755 | 0.7023 | - | - | - | - | +| 0.7441 | 756 | 2.6348 | - | - | - | - | +| 0.7451 | 757 | 1.3171 | - | - | - | - | +| 0.7461 | 758 | 2.5155 | - | - | - | - | +| 0.7470 | 759 | 1.0247 | - | - | - | - | +| 0.7480 | 760 | 0.9433 | - | - | - | - | +| 0.7490 | 761 | 1.1192 | - | - | - | - | +| 0.75 | 762 | 1.0187 | - | - | - | - | +| 0.7510 | 763 | 0.8483 | - | - | - | - | +| 0.7520 | 764 | 0.7776 | - | - | - | - | +| 0.7530 | 765 | 2.2929 | 1.4602 | 0.4394 | 0.4695 | 0.6764 | +| 0.7539 | 766 | 1.1385 | - | - | - | - | +| 0.7549 | 767 | 0.5783 | - | - | - | - | +| 0.7559 | 768 | 1.2594 | - | - | - | - | +| 0.7569 | 769 | 2.1814 | - | - | - | - | +| 0.7579 | 770 | 0.9557 | - | - | - | - | +| 0.7589 | 771 | 0.6649 | - | - | - | - | +| 0.7598 | 772 | 0.8908 | - | - | - | - | +| 0.7608 | 773 | 0.8234 | - | - | - | - | +| 0.7618 | 774 | 1.0889 | - | - | - | - | +| 0.7628 | 775 | 1.0294 | - | - | - | - | +| 0.7638 | 776 | 1.207 | - | - | - | - | +| 0.7648 | 777 | 0.9177 | - | - | - | - | +| 0.7657 | 778 | 1.118 | - | - | - | - | +| 0.7667 | 779 | 1.2775 | - | - | - | - | +| 0.7677 | 780 | 3.6265 | - | - | - | - | +| 0.7687 | 781 | 1.0477 | - | - | - | - | +| 0.7697 | 782 | 1.0475 | - | - | - | - | +| 0.7707 | 783 | 0.8965 | - | - | - | - | +| 0.7717 | 784 | 0.6398 | - | - | - | - | +| 0.7726 | 785 | 0.8387 | - | - | - | - | +| 0.7736 | 786 | 1.2206 | - | - | - | - | +| 0.7746 | 787 | 0.7254 | - | - | - | - | +| 0.7756 | 788 | 2.674 | - | - | - | - | +| 0.7766 | 789 | 0.9569 | - | - | - | - | +| 0.7776 | 790 | 1.1421 | - | - | - | - | +| 0.7785 | 791 | 1.0097 | - | - | - | - | +| 0.7795 | 792 | 0.7003 | - | - | - | - | +| 0.7805 | 793 | 0.9617 | - | - | - | - | +| 0.7815 | 794 | 0.7657 | - | - | - | - | +| 0.7825 | 795 | 1.0451 | - | - | - | - | +| 0.7835 | 796 | 2.6532 | - | - | - | - | +| 0.7844 | 797 | 2.2881 | - | - | - | - | +| 0.7854 | 798 | 0.6881 | - | - | - | - | +| 0.7864 | 799 | 0.8976 | - | - | - | - | +| 0.7874 | 800 | 2.1921 | - | - | - | - | +| 0.7884 | 801 | 0.5112 | - | - | - | - | +| 0.7894 | 802 | 0.775 | - | - | - | - | +| 0.7904 | 803 | 1.9774 | - | - | - | - | +| 0.7913 | 804 | 1.8192 | - | - | - | - | +| 0.7923 | 805 | 0.6617 | - | - | - | - | +| 0.7933 | 806 | 1.1582 | - | - | - | - | +| 0.7943 | 807 | 1.7469 | - | - | - | - | +| 0.7953 | 808 | 1.0597 | - | - | - | - | +| 0.7963 | 809 | 0.4811 | - | - | - | - | +| 0.7972 | 810 | 1.1675 | - | - | - | - | +| 0.7982 | 811 | 0.9254 | - | - | - | - | +| 0.7992 | 812 | 0.9448 | - | - | - | - | +| 0.8002 | 813 | 1.2215 | - | - | - | - | +| 0.8012 | 814 | 1.1021 | - | - | - | - | +| 0.8022 | 815 | 1.6263 | - | - | - | - | +| 0.8031 | 816 | 0.6675 | - | - | - | - | +| 0.8041 | 817 | 0.8904 | - | - | - | - | +| 0.8051 | 818 | 0.8919 | - | - | - | - | +| 0.8061 | 819 | 0.6128 | - | - | - | - | +| 0.8071 | 820 | 0.7364 | - | - | - | - | +| 0.8081 | 821 | 1.8094 | - | - | - | - | +| 0.8091 | 822 | 0.7423 | - | - | - | - | +| 0.8100 | 823 | 0.4273 | - | - | - | - | +| 0.8110 | 824 | 0.7915 | - | - | - | - | +| 0.8120 | 825 | 0.6667 | - | - | - | - | +| 0.8130 | 826 | 1.0842 | - | - | - | - | +| 0.8140 | 827 | 0.6472 | - | - | - | - | +| 0.8150 | 828 | 0.6185 | - | - | - | - | +| 0.8159 | 829 | 1.1912 | - | - | - | - | +| 0.8169 | 830 | 1.3546 | - | - | - | - | +| 0.8179 | 831 | 0.8114 | - | - | - | - | +| 0.8189 | 832 | 1.5822 | - | - | - | - | +| 0.8199 | 833 | 0.7137 | - | - | - | - | +| 0.8209 | 834 | 0.2886 | - | - | - | - | +| 0.8219 | 835 | 1.2391 | - | - | - | - | +| 0.8228 | 836 | 1.1536 | - | - | - | - | +| 0.8238 | 837 | 1.1422 | - | - | - | - | +| 0.8248 | 838 | 2.7215 | - | - | - | - | +| 0.8258 | 839 | 1.9721 | - | - | - | - | +| 0.8268 | 840 | 0.5596 | - | - | - | - | +| 0.8278 | 841 | 1.1538 | - | - | - | - | +| 0.8287 | 842 | 1.1463 | - | - | - | - | +| 0.8297 | 843 | 1.2118 | - | - | - | - | +| 0.8307 | 844 | 1.0761 | - | - | - | - | +| 0.8317 | 845 | 2.2337 | - | - | - | - | +| 0.8327 | 846 | 1.4387 | - | - | - | - | +| 0.8337 | 847 | 1.3689 | - | - | - | - | +| 0.8346 | 848 | 0.6953 | - | - | - | - | +| 0.8356 | 849 | 0.7809 | - | - | - | - | +| 0.8366 | 850 | 0.8823 | - | - | - | - | +| 0.8376 | 851 | 1.2892 | - | - | - | - | +| 0.8386 | 852 | 1.0262 | - | - | - | - | +| 0.8396 | 853 | 1.053 | - | - | - | - | +| 0.8406 | 854 | 0.8695 | - | - | - | - | +| 0.8415 | 855 | 0.9463 | - | - | - | - | +| 0.8425 | 856 | 2.3975 | - | - | - | - | +| 0.8435 | 857 | 1.032 | - | - | - | - | +| 0.8445 | 858 | 2.1536 | - | - | - | - | +| 0.8455 | 859 | 1.5867 | - | - | - | - | +| 0.8465 | 860 | 0.8153 | - | - | - | - | +| 0.8474 | 861 | 0.7053 | - | - | - | - | +| 0.8484 | 862 | 1.0604 | - | - | - | - | +| 0.8494 | 863 | 2.0091 | - | - | - | - | +| 0.8504 | 864 | 0.9021 | - | - | - | - | +| 0.8514 | 865 | 1.6572 | - | - | - | - | +| 0.8524 | 866 | 0.7634 | - | - | - | - | +| 0.8533 | 867 | 1.3602 | - | - | - | - | +| 0.8543 | 868 | 1.8969 | - | - | - | - | +| 0.8553 | 869 | 1.8319 | - | - | - | - | +| 0.8563 | 870 | 1.8445 | - | - | - | - | +| 0.8573 | 871 | 1.3896 | - | - | - | - | +| 0.8583 | 872 | 0.5278 | - | - | - | - | +| 0.8593 | 873 | 0.9049 | - | - | - | - | +| 0.8602 | 874 | 0.8758 | - | - | - | - | +| 0.8612 | 875 | 1.2579 | - | - | - | - | +| 0.8622 | 876 | 0.7051 | - | - | - | - | +| 0.8632 | 877 | 0.9826 | - | - | - | - | +| 0.8642 | 878 | 0.7903 | - | - | - | - | +| 0.8652 | 879 | 1.0113 | - | - | - | - | +| 0.8661 | 880 | 1.0594 | - | - | - | - | +| 0.8671 | 881 | 0.9289 | - | - | - | - | +| 0.8681 | 882 | 2.2593 | - | - | - | - | +| 0.8691 | 883 | 0.8689 | - | - | - | - | +| 0.8701 | 884 | 0.7923 | - | - | - | - | +| 0.8711 | 885 | 0.9832 | - | - | - | - | +| 0.8720 | 886 | 2.681 | - | - | - | - | +| 0.8730 | 887 | 1.0878 | - | - | - | - | +| 0.8740 | 888 | 0.6764 | - | - | - | - | +| 0.875 | 889 | 1.7032 | - | - | - | - | +| 0.8760 | 890 | 1.4734 | - | - | - | - | +| 0.8770 | 891 | 0.8396 | - | - | - | - | +| 0.8780 | 892 | 1.0006 | - | - | - | - | +| 0.8789 | 893 | 1.2926 | - | - | - | - | +| 0.8799 | 894 | 0.7681 | - 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| +| 0.9980 | 1014 | 1.5319 | - | - | - | - | +| 0.9990 | 1015 | 1.0956 | - | - | - | - | +| 1.0 | 1016 | 0.6806 | - | - | - | - | +| 1.0010 | 1017 | 0.0 | - | - | - | - | +| 1.0010 | 1018 | 1.0824 | - | - | - | - | +| 1.0020 | 1019 | 1.0969 | - | - | - | - | +| 1.0030 | 1020 | 0.8334 | - | - | - | - | +| 1.0039 | 1021 | 0.7022 | - | - | - | - | +| 1.0049 | 1022 | 0.502 | - | - | - | - | +| 1.0059 | 1023 | 0.5146 | - | - | - | - | +| 1.0069 | 1024 | 0.9768 | - | - | - | - | +| 1.0079 | 1025 | 0.7295 | - | - | - | - | +| 1.0089 | 1026 | 2.0448 | - | - | - | - | +| 1.0098 | 1027 | 0.7609 | - | - | - | - | +| 1.0108 | 1028 | 1.3264 | - | - | - | - | +| 1.0118 | 1029 | 1.1084 | - | - | - | - | +| 1.0128 | 1030 | 1.0857 | - | - | - | - | +| 1.0138 | 1031 | 1.7838 | - | - | - | - | +| 1.0148 | 1032 | 1.2398 | - | - | - | - | +| 1.0157 | 1033 | 0.7096 | - | - | - | - | +| 1.0167 | 1034 | 0.7082 | - | - | - | - | +| 1.0177 | 1035 | 0.6649 | - | - | - | - | +| 1.0187 | 1036 | 1.6809 | - | - | - | - | +| 1.0197 | 1037 | 1.0725 | - | - | - | - | +| 1.0207 | 1038 | 0.7607 | - | - | - | - | +| 1.0217 | 1039 | 0.8318 | - | - | - | - | +| 1.0226 | 1040 | 1.2795 | - | - | - | - | +| 1.0236 | 1041 | 0.5544 | - | - | - | - | +| 1.0246 | 1042 | 0.6573 | - | - | - | - | +| 1.0256 | 1043 | 0.868 | - | - | - | - | +| 1.0266 | 1044 | 1.1831 | - | - | - | - | +| 1.0276 | 1045 | 0.9724 | - | - | - | - | +| 1.0285 | 1046 | 1.2018 | - | - | - | - | +| 1.0295 | 1047 | 0.9539 | - | - | - | - | +| 1.0305 | 1048 | 0.5348 | - | - | - | - | +| 1.0315 | 1049 | 0.7531 | - | - | - | - | +| 1.0325 | 1050 | 1.1062 | - | - | - | - | +| 1.0335 | 1051 | 1.067 | - | - | - | - | +| 1.0344 | 1052 | 0.866 | - | - | - | - | +| 1.0354 | 1053 | 1.2976 | - | - | - | - | +| 1.0364 | 1054 | 2.035 | - | - | - | - | +| 1.0374 | 1055 | 1.1908 | - | - | - | - | +| 1.0384 | 1056 | 0.5581 | - | - | - | - | +| 1.0394 | 1057 | 1.0315 | - | - | - | - | +| 1.0404 | 1058 | 1.1023 | - | - | - | - | +| 1.0413 | 1059 | 0.4518 | - | - | - | - | +| 1.0423 | 1060 | 0.8027 | - | - | - | - | +| 1.0433 | 1061 | 1.9934 | - | - | - | - | +| 1.0443 | 1062 | 0.9329 | - | - | - | - | +| 1.0453 | 1063 | 0.9931 | - | - | - | - | +| 1.0463 | 1064 | 0.7169 | - | - | - | - | +| 1.0472 | 1065 | 1.0229 | - | - | - | - | +| 1.0482 | 1066 | 0.6757 | - | - | - | - | +| 1.0492 | 1067 | 0.7128 | - | - | - | - | +| 1.0502 | 1068 | 0.3775 | - | - | - | - | +| 1.0512 | 1069 | 1.1158 | - | - | - | - | +| 1.0522 | 1070 | 1.084 | - | - | - | - | +| 1.0531 | 1071 | 1.0829 | 1.2498 | 0.5611 | 0.4894 | 0.6867 | +| 1.0541 | 1072 | 1.4476 | - | - | - | - | +| 1.0551 | 1073 | 1.008 | - | - | - | - | +| 1.0561 | 1074 | 0.8832 | - | - | - | - | +| 1.0571 | 1075 | 0.5766 | - | - | - | - | +| 1.0581 | 1076 | 0.8722 | - | - | - | - | +| 1.0591 | 1077 | 0.6285 | - | - | - | - | +| 1.0600 | 1078 | 0.8074 | - | - | - | - | +| 1.0610 | 1079 | 0.7646 | - | - | - | - | +| 1.0620 | 1080 | 0.3947 | - | - | - | - | +| 1.0630 | 1081 | 1.1946 | - | - | - | - | +| 1.0640 | 1082 | 1.3833 | - | - | - | - | +| 1.0650 | 1083 | 1.5897 | - | - | - | - | +| 1.0659 | 1084 | 1.7621 | - | - | - | - | +| 1.0669 | 1085 | 1.4584 | - | - | - | - | +| 1.0679 | 1086 | 0.715 | - | - | - | - | +| 1.0689 | 1087 | 0.7493 | - | - | - | - | +| 1.0699 | 1088 | 0.7076 | - | - | - | - | +| 1.0709 | 1089 | 0.7919 | - | - | - | - | +| 1.0719 | 1090 | 0.9057 | - | - | - | - | +| 1.0728 | 1091 | 0.5515 | - | - | - | - | +| 1.0738 | 1092 | 0.5275 | - | - | - | - | +| 1.0748 | 1093 | 0.4794 | - | - | - | - | +| 1.0758 | 1094 | 1.4877 | - | - | - | - | +| 1.0768 | 1095 | 1.1599 | - | - | - | - | +| 1.0778 | 1096 | 0.5241 | - | - | - | - | +| 1.0787 | 1097 | 1.7957 | - | - | - | - | +| 1.0797 | 1098 | 1.1295 | - | - | - | - | +| 1.0807 | 1099 | 1.5688 | - | - | - | - | +| 1.0817 | 1100 | 0.7658 | - | - | - | - | +| 1.0827 | 1101 | 0.5828 | - | - | - | - | +| 1.0837 | 1102 | 0.8962 | - | - | - | - | +| 1.0846 | 1103 | 0.9649 | - | - | - | - | +| 1.0856 | 1104 | 0.8328 | - | - | - | - | +| 1.0866 | 1105 | 1.2495 | - | - | - | - | +| 1.0876 | 1106 | 1.1155 | - | - | - | - | +| 1.0886 | 1107 | 0.6959 | - | - | - | - | +| 1.0896 | 1108 | 0.3202 | - | - | - | - | +| 1.0906 | 1109 | 0.7917 | - | - | - | - | +| 1.0915 | 1110 | 1.6036 | - | - | - | - | +| 1.0925 | 1111 | 1.2433 | - | - | - | - | +| 1.0935 | 1112 | 0.5881 | - | - | - | - | +| 1.0945 | 1113 | 1.2943 | - | - | - | - | +| 1.0955 | 1114 | 0.4795 | - | - | - | - | +| 1.0965 | 1115 | 1.2879 | - | - | - | - | +| 1.0974 | 1116 | 0.7128 | - | - | - | - | +| 1.0984 | 1117 | 0.579 | - | - | - | - | +| 1.0994 | 1118 | 0.4919 | - | - | - | - | +| 1.1004 | 1119 | 0.8719 | - | - | - | - | +| 1.1014 | 1120 | 1.1696 | - | - | - | - | +| 1.1024 | 1121 | 1.0572 | - | - | - | - | +| 1.1033 | 1122 | 0.746 | - | - | - | - | +| 1.1043 | 1123 | 0.4024 | - | - | - | - | +| 1.1053 | 1124 | 1.506 | - | - | - | - | +| 1.1063 | 1125 | 0.8658 | - | - | - | - | +| 1.1073 | 1126 | 0.8811 | - | - | - | - | +| 1.1083 | 1127 | 0.5166 | - | - | - | - | +| 1.1093 | 1128 | 0.6676 | - 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| - | - | - | +| 1.6988 | 1727 | 0.437 | - | - | - | - | +| 1.6998 | 1728 | 0.6072 | - | - | - | - | +| 1.7008 | 1729 | 0.4196 | - | - | - | - | +| 1.7018 | 1730 | 0.5175 | - | - | - | - | +| 1.7028 | 1731 | 0.3439 | - | - | - | - | +| 1.7037 | 1732 | 0.3967 | - | - | - | - | +| 1.7047 | 1733 | 0.6726 | - | - | - | - | +| 1.7057 | 1734 | 1.0673 | - | - | - | - | +| 1.7067 | 1735 | 1.5876 | - | - | - | - | +| 1.7077 | 1736 | 0.3725 | - | - | - | - | +| 1.7087 | 1737 | 0.644 | - | - | - | - | +| 1.7096 | 1738 | 0.7511 | - | - | - | - | +| 1.7106 | 1739 | 0.4075 | - | - | - | - | +| 1.7116 | 1740 | 0.325 | - | - | - | - | +| 1.7126 | 1741 | 0.6408 | - | - | - | - | +| 1.7136 | 1742 | 0.5693 | - | - | - | - | +| 1.7146 | 1743 | 0.755 | - | - | - | - | +| 1.7156 | 1744 | 0.3953 | - | - | - | - | +| 1.7165 | 1745 | 0.2483 | - | - | - | - | +| 1.7175 | 1746 | 0.8284 | - | - | - | - | +| 1.7185 | 1747 | 0.8637 | - | - | - | - | +| 1.7195 | 1748 | 0.809 | - | - | - | - | +| 1.7205 | 1749 | 0.4039 | - | - | - | - | +| 1.7215 | 1750 | 0.7835 | - | - | - | - | +| 1.7224 | 1751 | 0.2731 | - | - | - | - | +| 1.7234 | 1752 | 1.1285 | - | - | - | - | +| 1.7244 | 1753 | 0.8982 | - | - | - | - | +| 1.7254 | 1754 | 0.5333 | - | - | - | - | +| 1.7264 | 1755 | 0.1284 | - | - | - | - | +| 1.7274 | 1756 | 0.6596 | - | - | - | - | +| 1.7283 | 1757 | 0.3537 | - | - | - | - | +| 1.7293 | 1758 | 0.4507 | - | - | - | - | +| 1.7303 | 1759 | 0.7807 | - | - | - | - | +| 1.7313 | 1760 | 0.3956 | - | - | - | - | +| 1.7323 | 1761 | 0.1616 | - | - | - | - | +| 1.7333 | 1762 | 0.4198 | - | - | - | - | +| 1.7343 | 1763 | 0.5712 | - | - | - | - | +| 1.7352 | 1764 | 0.8004 | - | - | - | - | +| 1.7362 | 1765 | 0.493 | - | - | - | - | +| 1.7372 | 1766 | 0.3876 | - | - | - | - | +| 1.7382 | 1767 | 0.2701 | - | - | - | - | +| 1.7392 | 1768 | 1.1244 | - | - | - | - | +| 1.7402 | 1769 | 0.9328 | - | - | - | - | +| 1.7411 | 1770 | 0.6236 | - | - | - | - | +| 1.7421 | 1771 | 0.5158 | - | - | - | - | +| 1.7431 | 1772 | 0.2337 | - | - | - | - | +| 1.7441 | 1773 | 0.5936 | - | - | - | - | +| 1.7451 | 1774 | 0.6437 | - | - | - | - | +| 1.7461 | 1775 | 0.9568 | - | - | - | - | +| 1.7470 | 1776 | 0.5351 | - | - | - | - | +| 1.7480 | 1777 | 0.6413 | - | - | - | - | +| 1.7490 | 1778 | 0.7472 | - | - | - | - | +| 1.75 | 1779 | 0.6276 | - | - | - | - | +| 1.7510 | 1780 | 0.4015 | - | - | - | - | +| 1.7520 | 1781 | 0.3602 | - | - | - | - | +| 1.7530 | 1782 | 1.1816 | - | - | - | - | +| 1.7539 | 1783 | 0.4165 | - | - | - | - | +| 1.7549 | 1784 | 0.6603 | - | - | - | - | +| 1.7559 | 1785 | 0.628 | - | - | - | - | +| 1.7569 | 1786 | 0.8104 | - | - | - | - | +| 1.7579 | 1787 | 0.7918 | - | - | - | - | +| 1.7589 | 1788 | 0.6674 | - | - | - | - | +| 1.7598 | 1789 | 0.696 | - | - | - | - | +| 1.7608 | 1790 | 0.6102 | - | - | - | - | +| 1.7618 | 1791 | 0.6323 | - | - | - | - | +| 1.7628 | 1792 | 0.447 | - | - | - | - | +| 1.7638 | 1793 | 0.5301 | - | - | - | - | +| 1.7648 | 1794 | 0.4242 | - | - | - | - | +| 1.7657 | 1795 | 1.0912 | - | - | - | - | +| 1.7667 | 1796 | 0.5947 | - | - | - | - | +| 1.7677 | 1797 | 0.9659 | - | - | - | - | +| 1.7687 | 1798 | 0.3915 | - | - | - | - | +| 1.7697 | 1799 | 1.0406 | - | - | - | - | +| 1.7707 | 1800 | 0.601 | - | - | - | - | +| 1.7717 | 1801 | 0.2213 | - | - | - | - | +| 1.7726 | 1802 | 0.6773 | - | - | - | - | +| 1.7736 | 1803 | 0.5883 | - | - | - | - | +| 1.7746 | 1804 | 0.4667 | - | - | - | - | +| 1.7756 | 1805 | 0.6663 | - | - | - | - | +| 1.7766 | 1806 | 0.6057 | - | - | - | - | +| 1.7776 | 1807 | 0.8443 | - | - | - | - | +| 1.7785 | 1808 | 0.6473 | - | - | - | - | +| 1.7795 | 1809 | 0.2648 | - | - | - | - | +| 1.7805 | 1810 | 0.5918 | - | - | - | - | +| 1.7815 | 1811 | 0.6399 | - | - | - | - | +| 1.7825 | 1812 | 0.5961 | - | - | - | - | +| 1.7835 | 1813 | 0.2637 | - | - | - | - | +| 1.7844 | 1814 | 0.8332 | - | - | - | - | +| 1.7854 | 1815 | 0.3121 | - | - | - | - | +| 1.7864 | 1816 | 0.9966 | - | - | - | - | +| 1.7874 | 1817 | 0.9226 | - | - | - | - | +| 1.7884 | 1818 | 0.1044 | - | - | - | - | +| 1.7894 | 1819 | 0.67 | - | - | - | - | +| 1.7904 | 1820 | 0.4401 | - | - | - | - | +| 1.7913 | 1821 | 0.4222 | - | - | - | - | +| 1.7923 | 1822 | 0.5033 | - | - | - | - | +| 1.7933 | 1823 | 0.7639 | - | - | - | - | +| 1.7943 | 1824 | 0.5791 | - | - | - | - | +| 1.7953 | 1825 | 0.7615 | - | - | - | - | +| 1.7963 | 1826 | 0.26 | - | - | - | - | +| 1.7972 | 1827 | 0.2372 | - | - | - | - | +| 1.7982 | 1828 | 0.3546 | - | - | - | - | +| 1.7992 | 1829 | 0.4989 | - | - | - | - | +| 1.8002 | 1830 | 1.1705 | - | - | - | - | +| 1.8012 | 1831 | 1.1289 | - | - | - | - | +| 1.8022 | 1832 | 0.8638 | - | - | - | - | +| 1.8031 | 1833 | 0.2951 | - | - | - | - | +| 1.8041 | 1834 | 0.3667 | - | - | - | - | +| 1.8051 | 1835 | 0.5948 | - | - | - | - | +| 1.8061 | 1836 | 0.1921 | 0.9843 | 0.6422 | 0.5196 | 0.7017 | +| 1.8071 | 1837 | 0.3578 | - | - | - | - | +| 1.8081 | 1838 | 0.5384 | - | - | - | - | +| 1.8091 | 1839 | 0.3188 | - | - | - | - | +| 1.8100 | 1840 | 0.1175 | - | - | - | - | +| 1.8110 | 1841 | 0.403 | - | - | - | - | +| 1.8120 | 1842 | 0.2802 | - | - | - | - | +| 1.8130 | 1843 | 0.8946 | - | - | - | - | +| 1.8140 | 1844 | 0.678 | - | - | - | - | +| 1.8150 | 1845 | 0.4228 | - | - | - | - | +| 1.8159 | 1846 | 0.848 | - | - | - | - | +| 1.8169 | 1847 | 0.9801 | - | - | - | - | +| 1.8179 | 1848 | 0.4032 | - | - | - | - | +| 1.8189 | 1849 | 0.6389 | - | - | - | - | +| 1.8199 | 1850 | 0.4744 | - | - | - | - | +| 1.8209 | 1851 | 0.2109 | - | - | - | - | +| 1.8219 | 1852 | 0.7483 | - | - | - | - | +| 1.8228 | 1853 | 0.7438 | - | - | - | - | +| 1.8238 | 1854 | 0.6909 | - | - | - | - | +| 1.8248 | 1855 | 0.5785 | - | - | - | - | +| 1.8258 | 1856 | 0.6868 | - | - | - | - | +| 1.8268 | 1857 | 0.3436 | - | - | - | - | +| 1.8278 | 1858 | 1.1297 | - | - | - | - | +| 1.8287 | 1859 | 0.8586 | - | - | - | - | +| 1.8297 | 1860 | 1.3802 | - | - | - | - | +| 1.8307 | 1861 | 0.4151 | - | - | - | - | +| 1.8317 | 1862 | 0.3279 | - | - | - | - | +| 1.8327 | 1863 | 0.6177 | - | - | - | - | +| 1.8337 | 1864 | 0.4888 | - | - | - | - | +| 1.8346 | 1865 | 0.3599 | - | - | - | - | +| 1.8356 | 1866 | 0.2112 | - | - | - | - | +| 1.8366 | 1867 | 0.2462 | - | - | - | - | +| 1.8376 | 1868 | 0.9246 | - | - | - | - | +| 1.8386 | 1869 | 0.5992 | - | - | - | - | +| 1.8396 | 1870 | 0.7455 | - | - | - | - | +| 1.8406 | 1871 | 0.4792 | - | - | - | - | +| 1.8415 | 1872 | 0.6048 | - | - | - | - | +| 1.8425 | 1873 | 1.1413 | - | - | - | - | +| 1.8435 | 1874 | 0.5035 | - | - | - | - | +| 1.8445 | 1875 | 0.8205 | - | - | - | - | +| 1.8455 | 1876 | 0.3922 | - | - | - | - | +| 1.8465 | 1877 | 0.4792 | - | - | - | - | +| 1.8474 | 1878 | 0.2323 | - | - | - | - | +| 1.8484 | 1879 | 1.0537 | - | - | - | - | +| 1.8494 | 1880 | 0.7624 | - | - | - | - | +| 1.8504 | 1881 | 0.6861 | - | - | - | - | +| 1.8514 | 1882 | 0.4958 | - | - | - | - | +| 1.8524 | 1883 | 0.4112 | - | - | - | - | +| 1.8533 | 1884 | 0.6358 | - | - | - | - | +| 1.8543 | 1885 | 0.7354 | - | - | - | - | +| 1.8553 | 1886 | 0.7199 | - | - | - | - | +| 1.8563 | 1887 | 0.8309 | - | - | - | - | +| 1.8573 | 1888 | 0.6902 | - | - | - | - | +| 1.8583 | 1889 | 0.1763 | - | - | - | - | +| 1.8593 | 1890 | 0.6163 | - | - | - | - | +| 1.8602 | 1891 | 0.5629 | - | - | - | - | +| 1.8612 | 1892 | 0.7518 | - | - | - | - | +| 1.8622 | 1893 | 0.6893 | - | - | - | - | +| 1.8632 | 1894 | 0.3519 | - | - | - | - | +| 1.8642 | 1895 | 0.121 | - | - | - | - | +| 1.8652 | 1896 | 0.5967 | - | - | - | - | +| 1.8661 | 1897 | 0.3536 | - | - | - | - | +| 1.8671 | 1898 | 0.6354 | - | - | - | - | +| 1.8681 | 1899 | 0.6448 | - | - | - | - | +| 1.8691 | 1900 | 0.3805 | - | - | - | - | +| 1.8701 | 1901 | 0.2854 | - | - | - | - | +| 1.8711 | 1902 | 1.1512 | - | - | - | - | +| 1.8720 | 1903 | 0.3825 | - | - | - | - | +| 1.8730 | 1904 | 0.4156 | - | - | - | - | +| 1.8740 | 1905 | 0.2155 | - | - | - | - | +| 1.875 | 1906 | 0.9292 | - | - | - | - | +| 1.8760 | 1907 | 0.6131 | - | - | - | - | +| 1.8770 | 1908 | 0.516 | - | - | - | - | +| 1.8780 | 1909 | 0.829 | - | - | - | - | +| 1.8789 | 1910 | 0.7785 | - | - | - | - | +| 1.8799 | 1911 | 0.4304 | - | - | - | - | +| 1.8809 | 1912 | 0.4163 | - | - | - | - | +| 1.8819 | 1913 | 0.4314 | - | - | - | - | +| 1.8829 | 1914 | 0.5409 | - | - | - | - | +| 1.8839 | 1915 | 0.1406 | - | - | - | - | +| 1.8848 | 1916 | 0.4662 | - | - | - | - | +| 1.8858 | 1917 | 0.5706 | - | - | - | - | +| 1.8868 | 1918 | 0.6524 | - | - | - | - | +| 1.8878 | 1919 | 0.5334 | - | - | - | - | +| 1.8888 | 1920 | 0.2941 | - | - | - | - | +| 1.8898 | 1921 | 1.0042 | - | - | - | - | +| 1.8907 | 1922 | 0.6607 | - | - | - | - | +| 1.8917 | 1923 | 0.6232 | - | - | - | - | +| 1.8927 | 1924 | 0.7116 | - | - | - | - | +| 1.8937 | 1925 | 0.5706 | - | - | - | - | +| 1.8947 | 1926 | 0.5863 | - | - | - | - | +| 1.8957 | 1927 | 0.2272 | - | - | - | - | +| 1.8967 | 1928 | 0.3337 | - | - | - | - | +| 1.8976 | 1929 | 0.7918 | - | - | - | - | +| 1.8986 | 1930 | 0.3992 | - | - | - | - | +| 1.8996 | 1931 | 0.2711 | - | - | - | - | +| 1.9006 | 1932 | 0.7199 | - | - | - | - | +| 1.9016 | 1933 | 0.3781 | - | - | - | - | +| 1.9026 | 1934 | 0.1524 | - | - | - | - | +| 1.9035 | 1935 | 0.2347 | - | - | - | - | +| 1.9045 | 1936 | 0.8348 | - | - | - | - | +| 1.9055 | 1937 | 0.5498 | - | - | - | - | +| 1.9065 | 1938 | 0.226 | - | - | - | - | +| 1.9075 | 1939 | 0.719 | - | - | - | - | +| 1.9085 | 1940 | 0.2547 | - | - | - | - | +| 1.9094 | 1941 | 0.5611 | - | - | - | - | +| 1.9104 | 1942 | 0.1426 | - | - | - | - | +| 1.9114 | 1943 | 0.743 | - | - | - | - | +| 1.9124 | 1944 | 0.5874 | - | - | - | - | +| 1.9134 | 1945 | 0.3334 | - | - | - | - | +| 1.9144 | 1946 | 0.4916 | - | - | - | - | +| 1.9154 | 1947 | 0.7915 | - | - | - | - | +| 1.9163 | 1948 | 0.1582 | - | - | - | - | +| 1.9173 | 1949 | 0.408 | - | - | - | - | +| 1.9183 | 1950 | 0.4246 | - | - | - | - | +| 1.9193 | 1951 | 0.5638 | - | - | - | - | +| 1.9203 | 1952 | 0.4243 | - | - | - | - | +| 1.9213 | 1953 | 0.4148 | - | - | - | - | +| 1.9222 | 1954 | 0.268 | - | - | - | - | +| 1.9232 | 1955 | 0.2287 | - | - | - | - | +| 1.9242 | 1956 | 0.1981 | - | - | - | - | +| 1.9252 | 1957 | 1.661 | - | - | - | - | +| 1.9262 | 1958 | 0.6172 | - | - | - | - | +| 1.9272 | 1959 | 0.7265 | - | - | - | - | +| 1.9281 | 1960 | 0.4045 | - | - | - | - | +| 1.9291 | 1961 | 0.3756 | - | - | - | - | +| 1.9301 | 1962 | 0.5601 | - | - | - | - | +| 1.9311 | 1963 | 0.2951 | - | - | - | - | +| 1.9321 | 1964 | 0.8282 | - | - | - | - | +| 1.9331 | 1965 | 0.3984 | - | - | - | - | +| 1.9341 | 1966 | 0.6055 | - | - | - | - | +| 1.9350 | 1967 | 0.5407 | - | - | - | - | +| 1.9360 | 1968 | 0.2173 | - | - | - | - | +| 1.9370 | 1969 | 0.5948 | - | - | - | - | +| 1.9380 | 1970 | 0.4105 | - | - | - | - | +| 1.9390 | 1971 | 0.1847 | - | - | - | - | +| 1.9400 | 1972 | 0.4112 | - | - | - | - | +| 1.9409 | 1973 | 0.1703 | - | - | - | - | +| 1.9419 | 1974 | 0.4364 | - | - | - | - | +| 1.9429 | 1975 | 0.4748 | - | - | - | - | +| 1.9439 | 1976 | 0.224 | - | - | - | - | +| 1.9449 | 1977 | 0.8408 | - | - | - | - | +| 1.9459 | 1978 | 0.5296 | - | - | - | - | +| 1.9469 | 1979 | 0.7688 | - | - | - | - | +| 1.9478 | 1980 | 1.0069 | - | - | - | - | +| 1.9488 | 1981 | 1.1509 | - | - | - | - | +| 1.9498 | 1982 | 0.5735 | - | - | - | - | +| 1.9508 | 1983 | 0.5137 | - | - | - | - | +| 1.9518 | 1984 | 0.3373 | - | - | - | - | +| 1.9528 | 1985 | 0.3546 | - | - | - | - | +| 1.9537 | 1986 | 0.5453 | - | - | - | - | +| 1.9547 | 1987 | 0.8836 | - | - | - | - | +| 1.9557 | 1988 | 0.2828 | - | - | - | - | +| 1.9567 | 1989 | 0.3481 | 0.9706 | 0.6712 | 0.5208 | 0.7004 | +| 1.9577 | 1990 | 0.5158 | - | - | - | - | +| 1.9587 | 1991 | 1.1472 | - | - | - | - | +| 1.9596 | 1992 | 0.5507 | - | - | - | - | +| 1.9606 | 1993 | 0.4904 | - | - | - | - | +| 1.9616 | 1994 | 0.2959 | - | - | - | - | +| 1.9626 | 1995 | 0.1981 | - | - | - | - | +| 1.9636 | 1996 | 0.332 | - | - | - | - | +| 1.9646 | 1997 | 0.3562 | - | - | - | - | +| 1.9656 | 1998 | 0.7395 | - | - | - | - | +| 1.9665 | 1999 | 0.5546 | - | - | - | - | +| 1.9675 | 2000 | 0.6003 | - | - | - | - | +| 1.9685 | 2001 | 0.784 | - | - | - | - | +| 1.9695 | 2002 | 0.5101 | - | - | - | - | +| 1.9705 | 2003 | 0.5691 | - | - | - | - | +| 1.9715 | 2004 | 0.2075 | - | - | - | - | +| 1.9724 | 2005 | 0.4202 | - | - | - | - | +| 1.9734 | 2006 | 0.3815 | - | - | - | - | +| 1.9744 | 2007 | 0.2197 | - | - | - | - | +| 1.9754 | 2008 | 0.3602 | - | - | - | - | +| 1.9764 | 2009 | 0.295 | - | - | - | - | +| 1.9774 | 2010 | 0.3633 | - | - | - | - | +| 1.9783 | 2011 | 0.4982 | - | - | - | - | +| 1.9793 | 2012 | 0.8649 | - | - | - | - | +| 1.9803 | 2013 | 0.8593 | - | - | - | - | +| 1.9813 | 2014 | 0.5689 | - | - | - | - | +| 1.9823 | 2015 | 0.9294 | - | - | - | - | +| 1.9833 | 2016 | 0.3826 | - | - | - | - | +| 1.9843 | 2017 | 0.3136 | - | - | - | - | +| 1.9852 | 2018 | 0.6924 | - | - | - | - | +| 1.9862 | 2019 | 0.6278 | - | - | - | - | +| 1.9872 | 2020 | 0.615 | - | - | - | - | +| 1.9882 | 2021 | 0.5819 | - | - | - | - | +| 1.9892 | 2022 | 0.5012 | - | - | - | - | +| 1.9902 | 2023 | 0.4416 | - | - | - | - | +| 1.9911 | 2024 | 0.4151 | - | - | - | - | +| 1.9921 | 2025 | 0.6352 | - | - | - | - | +| 1.9931 | 2026 | 0.1386 | - | - | - | - | +| 1.9941 | 2027 | 0.4451 | - | - | - | - | +| 1.9951 | 2028 | 0.2217 | - | - | - | - | +| 1.9961 | 2029 | 0.3559 | - | - | - | - | +| 1.9970 | 2030 | 0.3077 | - | - | - | - | +| 1.9980 | 2031 | 1.0025 | - | - | - | - | +| 1.9990 | 2032 | 0.9233 | - | - | - | - | +| 2.0 | 2033 | 0.52 | - | - | - | - | +| 2.0010 | 2034 | 0.0 | - | - | - | - | +| 2.0010 | 2035 | 1.0536 | - | - | - | - | +| 2.0020 | 2036 | 0.5749 | - | - | - | - | +| 2.0030 | 2037 | 0.9689 | - | - | - | - | +| 2.0039 | 2038 | 0.4037 | - | - | - | - | +| 2.0049 | 2039 | 0.6314 | - | - | - | - | +| 2.0059 | 2040 | 0.1926 | - | - | - | - | +| 2.0069 | 2041 | 0.8417 | - | - | - | - | +| 2.0079 | 2042 | 0.6205 | - | - | - | - | +| 2.0089 | 2043 | 0.2801 | - | - | - | - | +| 2.0098 | 2044 | 0.6844 | - | - | - | - | +| 2.0108 | 2045 | 0.6534 | - | - | - | - | +| 2.0118 | 2046 | 0.5133 | - | - | - | - | +| 2.0128 | 2047 | 0.4383 | - | - | - | - | +| 2.0138 | 2048 | 0.7045 | - | - | - | - | +| 2.0148 | 2049 | 0.4953 | - | - | - | - | +| 2.0157 | 2050 | 0.2567 | - | - | - | - | +| 2.0167 | 2051 | 0.4574 | - | - | - | - | +| 2.0177 | 2052 | 0.3211 | - | - | - | - | +| 2.0187 | 2053 | 0.7028 | - | - | - | - | +| 2.0197 | 2054 | 0.5107 | - | - | - | - | +| 2.0207 | 2055 | 0.327 | - | - | - | - | +| 2.0217 | 2056 | 0.7758 | - | - | - | - | +| 2.0226 | 2057 | 0.2169 | - | - | - | - | +| 2.0236 | 2058 | 0.0995 | - | - | - | - | +| 2.0246 | 2059 | 0.4255 | - | - | - | - | +| 2.0256 | 2060 | 0.6974 | - | - | - | - | +| 2.0266 | 2061 | 0.3386 | - | - | - | - | +| 2.0276 | 2062 | 0.4871 | - | - | - | - | +| 2.0285 | 2063 | 0.7656 | - | - | - | - | +| 2.0295 | 2064 | 0.3288 | - | - | - | - | +| 2.0305 | 2065 | 0.3246 | - | - | - | - | +| 2.0315 | 2066 | 0.5359 | - | - | - | - | +| 2.0325 | 2067 | 0.5731 | - | - | - | - | +| 2.0335 | 2068 | 0.6563 | - | - | - | - | +| 2.0344 | 2069 | 0.434 | - | - | - | - | +| 2.0354 | 2070 | 0.8234 | - | - | - | - | +| 2.0364 | 2071 | 0.7725 | - | - | - | - | +| 2.0374 | 2072 | 0.5631 | - | - | - | - | +| 2.0384 | 2073 | 0.3587 | - | - | - | - | +| 2.0394 | 2074 | 0.6894 | - | - | - | - | +| 2.0404 | 2075 | 0.8536 | - | - | - | - | +| 2.0413 | 2076 | 0.2449 | - | - | - | - | +| 2.0423 | 2077 | 0.5641 | - | - | - | - | +| 2.0433 | 2078 | 0.4836 | - | - | - | - | +| 2.0443 | 2079 | 0.905 | - | - | - | - | +| 2.0453 | 2080 | 0.4315 | - | - | - | - | +| 2.0463 | 2081 | 0.3829 | - | - | - | - | +| 2.0472 | 2082 | 0.366 | - | - | - | - | +| 2.0482 | 2083 | 0.3392 | - | - | - | - | +| 2.0492 | 2084 | 0.3751 | - | - | - | - | +| 2.0502 | 2085 | 0.2075 | - | - | - | - | +| 2.0512 | 2086 | 0.8522 | - | - | - | - | +| 2.0522 | 2087 | 0.4735 | - | - | - | - | +| 2.0531 | 2088 | 0.4227 | - | - | - | - | +| 2.0541 | 2089 | 0.5437 | - | - | - | - | +| 2.0551 | 2090 | 0.33 | - | - | - | - | +| 2.0561 | 2091 | 0.3904 | - | - | - | - | +| 2.0571 | 2092 | 0.3672 | - | - | - | - | +| 2.0581 | 2093 | 1.0232 | - | - | - | - | +| 2.0591 | 2094 | 0.3397 | - | - | - | - | +| 2.0600 | 2095 | 0.6183 | - | - | - | - | +| 2.0610 | 2096 | 0.282 | - | - | - | - | +| 2.0620 | 2097 | 0.2667 | - | - | - | - | +| 2.0630 | 2098 | 0.5652 | - | - | - | - | +| 2.0640 | 2099 | 1.0643 | - | - | - | - | +| 2.0650 | 2100 | 0.6203 | - | - | - | - | +| 2.0659 | 2101 | 0.4321 | - | - | - | - | +| 2.0669 | 2102 | 0.8522 | - | - | - | - | +| 2.0679 | 2103 | 0.4217 | - | - | - | - | +| 2.0689 | 2104 | 0.9329 | - | - | - | - | +| 2.0699 | 2105 | 0.4836 | - | - | - | - | +| 2.0709 | 2106 | 0.1996 | - | - | - | - | +| 2.0719 | 2107 | 0.7449 | - | - | - | - | +| 2.0728 | 2108 | 0.4782 | - | - | - | - | +| 2.0738 | 2109 | 0.2508 | - | - | - | - | +| 2.0748 | 2110 | 0.1712 | - | - | - | - | +| 2.0758 | 2111 | 0.9656 | - | - | - | - | +| 2.0768 | 2112 | 0.4058 | - | - | - | - | +| 2.0778 | 2113 | 0.3136 | - | - | - | - | +| 2.0787 | 2114 | 0.6674 | - | - | - | - | +| 2.0797 | 2115 | 0.5842 | - | - | - | - | +| 2.0807 | 2116 | 0.5443 | - | - | - | - | +| 2.0817 | 2117 | 0.678 | - | - | - | - | +| 2.0827 | 2118 | 0.237 | - | - | - | - | +| 2.0837 | 2119 | 0.4916 | - | - | - | - | +| 2.0846 | 2120 | 0.7586 | - | - | - | - | +| 2.0856 | 2121 | 0.5489 | - | - | - | - | +| 2.0866 | 2122 | 0.4912 | - | - | - | - | +| 2.0876 | 2123 | 0.7887 | - | - | - | - | +| 2.0886 | 2124 | 0.5329 | - | - | - | - | +| 2.0896 | 2125 | 0.1016 | - | - | - | - | +| 2.0906 | 2126 | 0.3978 | - | - | - | - | +| 2.0915 | 2127 | 0.4734 | - | - | - | - | +| 2.0925 | 2128 | 0.3846 | - | - | - | - | +| 2.0935 | 2129 | 0.1579 | - | - | - | - | +| 2.0945 | 2130 | 0.5939 | - | - | - | - | +| 2.0955 | 2131 | 0.5173 | - | - | - | - | +| 2.0965 | 2132 | 0.3282 | - | - | - | - | +| 2.0974 | 2133 | 0.5281 | - | - | - | - | +| 2.0984 | 2134 | 0.4023 | - | - | - | - | +| 2.0994 | 2135 | 0.3061 | - | - | - | - | +| 2.1004 | 2136 | 0.4158 | - | - | - | - | +| 2.1014 | 2137 | 0.5952 | - | - | - | - | +| 2.1024 | 2138 | 0.3903 | - | - | - | - | +| 2.1033 | 2139 | 0.3577 | - | - | - | - | +| 2.1043 | 2140 | 0.196 | - | - | - | - | +| 2.1053 | 2141 | 0.38 | - | - | - | - | +| 2.1063 | 2142 | 0.6768 | 0.9629 | 0.6313 | 0.5061 | 0.7051 | +| 2.1073 | 2143 | 0.5215 | - | - | - | - | +| 2.1083 | 2144 | 0.3134 | - | - | - | - | +| 2.1093 | 2145 | 0.3255 | - | - | - | - | +| 2.1102 | 2146 | 0.8023 | - | - | - | - | +| 2.1112 | 2147 | 1.2468 | - | - | - | - | +| 2.1122 | 2148 | 0.7636 | - | - | - | - | +| 2.1132 | 2149 | 0.3759 | - | - | - | - | +| 2.1142 | 2150 | 0.4563 | - | - | - | - | +| 2.1152 | 2151 | 0.7122 | - | - | - | - | +| 2.1161 | 2152 | 0.5501 | - | - | - | - | +| 2.1171 | 2153 | 0.3651 | - | - | - | - | +| 2.1181 | 2154 | 0.3793 | - | - | - | - | +| 2.1191 | 2155 | 0.6461 | - | - | - | - | +| 2.1201 | 2156 | 0.5457 | - | - | - | - | +| 2.1211 | 2157 | 0.1725 | - | - | - | - | +| 2.1220 | 2158 | 0.227 | - | - | - | - | +| 2.1230 | 2159 | 0.529 | - | - | - | - | +| 2.1240 | 2160 | 0.3569 | - | - | - | - | +| 2.125 | 2161 | 0.3879 | - | - | - | - | +| 2.1260 | 2162 | 0.3999 | - | - | - | - | +| 2.1270 | 2163 | 0.3085 | - 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| - | - | - | +| 2.1959 | 2233 | 0.4052 | - | - | - | - | +| 2.1969 | 2234 | 0.1339 | - | - | - | - | +| 2.1978 | 2235 | 0.488 | - | - | - | - | +| 2.1988 | 2236 | 0.7147 | - | - | - | - | +| 2.1998 | 2237 | 0.6582 | - | - | - | - | +| 2.2008 | 2238 | 0.7598 | - | - | - | - | +| 2.2018 | 2239 | 0.4642 | - | - | - | - | +| 2.2028 | 2240 | 0.4712 | - | - | - | - | +| 2.2037 | 2241 | 0.3164 | - | - | - | - | +| 2.2047 | 2242 | 0.4444 | - | - | - | - | +| 2.2057 | 2243 | 0.4983 | - | - | - | - | +| 2.2067 | 2244 | 0.5059 | - | - | - | - | +| 2.2077 | 2245 | 1.0876 | - | - | - | - | +| 2.2087 | 2246 | 0.1743 | - | - | - | - | +| 2.2096 | 2247 | 0.7035 | - | - | - | - | +| 2.2106 | 2248 | 0.2316 | - | - | - | - | +| 2.2116 | 2249 | 0.1159 | - | - | - | - | +| 2.2126 | 2250 | 0.3093 | - | - | - | - | +| 2.2136 | 2251 | 0.2272 | - | - | - | - | +| 2.2146 | 2252 | 0.8034 | - | - | - | - | +| 2.2156 | 2253 | 0.4926 | - | - | - | - | +| 2.2165 | 2254 | 0.2633 | - | - | - | - | +| 2.2175 | 2255 | 0.2974 | - | - | - | - | +| 2.2185 | 2256 | 0.6339 | - | - | - | - | +| 2.2195 | 2257 | 0.4699 | - | - | - | - | +| 2.2205 | 2258 | 0.5012 | - | - | - | - | +| 2.2215 | 2259 | 0.5572 | - | - | - | - | +| 2.2224 | 2260 | 0.9996 | - | - | - | - | +| 2.2234 | 2261 | 0.7209 | - | - | - | - | +| 2.2244 | 2262 | 0.3005 | - | - | - | - | +| 2.2254 | 2263 | 0.7379 | - | - | - | - | +| 2.2264 | 2264 | 0.1233 | - | - | - | - | +| 2.2274 | 2265 | 0.4234 | - | - | - | - | +| 2.2283 | 2266 | 0.2912 | - | - | - | - | +| 2.2293 | 2267 | 0.5686 | - | - | - | - | +| 2.2303 | 2268 | 0.3039 | - | - | - | - | +| 2.2313 | 2269 | 0.3685 | - | - | - | - | +| 2.2323 | 2270 | 0.4984 | - | - | - | - | +| 2.2333 | 2271 | 0.2326 | - | - | - | - | +| 2.2343 | 2272 | 0.5876 | - | - | - | - | +| 2.2352 | 2273 | 0.4002 | - | - | - | - | +| 2.2362 | 2274 | 0.5853 | - | - | - | - | +| 2.2372 | 2275 | 0.2947 | - | - | - | - | +| 2.2382 | 2276 | 0.5385 | - | - | - | - | +| 2.2392 | 2277 | 0.3142 | - | - | - | - | +| 2.2402 | 2278 | 0.383 | - | - | - | - | +| 2.2411 | 2279 | 0.4688 | - | - | - | - | +| 2.2421 | 2280 | 0.4124 | - | - | - | - | +| 2.2431 | 2281 | 0.538 | - | - | - | - | +| 2.2441 | 2282 | 0.6009 | - | - | - | - | +| 2.2451 | 2283 | 0.2344 | - | - | - | - | +| 2.2461 | 2284 | 0.3602 | - | - | - | - | +| 2.2470 | 2285 | 0.7008 | - | - | - | - | +| 2.2480 | 2286 | 0.2619 | - | - | - | - | +| 2.2490 | 2287 | 0.5225 | - | - | - | - | +| 2.25 | 2288 | 0.1657 | - | - | - | - | +| 2.2510 | 2289 | 0.3965 | - | - | - | - | +| 2.2520 | 2290 | 0.8387 | - | - | - | - | +| 2.2530 | 2291 | 0.6505 | - | - | - | - | +| 2.2539 | 2292 | 0.8453 | - | - | - | - | +| 2.2549 | 2293 | 0.3865 | - | - | - | - | +| 2.2559 | 2294 | 0.7424 | - | - | - | - | +| 2.2569 | 2295 | 0.2301 | 0.9296 | 0.6644 | 0.5162 | 0.7097 | +| 2.2579 | 2296 | 0.128 | - | - | - | - | +| 2.2589 | 2297 | 0.7932 | - | - | - | - | +| 2.2598 | 2298 | 0.3471 | - | - | - | - | +| 2.2608 | 2299 | 0.5931 | - | - | - | - | +| 2.2618 | 2300 | 0.3816 | - | - | - | - | +| 2.2628 | 2301 | 0.2919 | - | - | - | - | +| 2.2638 | 2302 | 0.1231 | - | - | - | - | +| 2.2648 | 2303 | 0.3372 | - | - | - | - | +| 2.2657 | 2304 | 0.2717 | - | - | - | - | +| 2.2667 | 2305 | 0.2641 | - | - | - | - | +| 2.2677 | 2306 | 0.1901 | - | - | - | - | +| 2.2687 | 2307 | 0.409 | - | - | - | - | +| 2.2697 | 2308 | 0.9497 | - | - | - | - | +| 2.2707 | 2309 | 0.7417 | - | - | - | - | +| 2.2717 | 2310 | 0.3104 | - | - | - | - | +| 2.2726 | 2311 | 0.3535 | - | - | - | - | +| 2.2736 | 2312 | 0.2776 | - | - | - | - | +| 2.2746 | 2313 | 0.4681 | - | - | - | - | +| 2.2756 | 2314 | 0.3353 | - | - | - | - | +| 2.2766 | 2315 | 0.3965 | - | - | - | - | +| 2.2776 | 2316 | 0.4975 | - | - | - | - | +| 2.2785 | 2317 | 0.6786 | - | - | - | - | +| 2.2795 | 2318 | 0.3268 | - | - | - | - | +| 2.2805 | 2319 | 0.3992 | - | - | - | - | +| 2.2815 | 2320 | 0.2394 | - | - | - | - | +| 2.2825 | 2321 | 0.4223 | - | - | - | - | +| 2.2835 | 2322 | 0.096 | - | - | - | - | +| 2.2844 | 2323 | 0.6566 | - | - | - | - | +| 2.2854 | 2324 | 0.9653 | - 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| - | - | - | +| 2.875 | 2923 | 0.471 | - | - | - | - | +| 2.8760 | 2924 | 0.3942 | - | - | - | - | +| 2.8770 | 2925 | 0.3706 | - | - | - | - | +| 2.8780 | 2926 | 0.4969 | - | - | - | - | +| 2.8789 | 2927 | 0.7252 | - | - | - | - | +| 2.8799 | 2928 | 0.1062 | - | - | - | - | +| 2.8809 | 2929 | 0.3599 | - | - | - | - | +| 2.8819 | 2930 | 0.2928 | - | - | - | - | +| 2.8829 | 2931 | 0.4123 | - | - | - | - | +| 2.8839 | 2932 | 0.0589 | - | - | - | - | +| 2.8848 | 2933 | 0.6296 | - | - | - | - | +| 2.8858 | 2934 | 0.5993 | - | - | - | - | +| 2.8868 | 2935 | 0.3544 | - | - | - | - | +| 2.8878 | 2936 | 0.5743 | - | - | - | - | +| 2.8888 | 2937 | 0.2369 | - | - | - | - | +| 2.8898 | 2938 | 0.8943 | - | - | - | - | +| 2.8907 | 2939 | 0.3377 | - | - | - | - | +| 2.8917 | 2940 | 0.4964 | - | - | - | - | +| 2.8927 | 2941 | 0.3776 | - | - | - | - | +| 2.8937 | 2942 | 0.3713 | - | - | - | - | +| 2.8947 | 2943 | 0.4148 | - | - | - | - | +| 2.8957 | 2944 | 0.1323 | - | - | - | - | +| 2.8967 | 2945 | 0.3221 | - | - | - | - | +| 2.8976 | 2946 | 0.5279 | - | - | - | - | +| 2.8986 | 2947 | 0.3671 | - | - | - | - | +| 2.8996 | 2948 | 0.5808 | - | - | - | - | +| 2.9006 | 2949 | 0.2977 | - | - | - | - | +| 2.9016 | 2950 | 0.3059 | - | - | - | - | +| 2.9026 | 2951 | 0.113 | - | - | - | - | +| 2.9035 | 2952 | 0.2043 | - | - | - | - | +| 2.9045 | 2953 | 0.4614 | - | - | - | - | +| 2.9055 | 2954 | 0.3697 | - | - | - | - | +| 2.9065 | 2955 | 0.2648 | - | - | - | - | +| 2.9075 | 2956 | 0.3086 | - | - | - | - | +| 2.9085 | 2957 | 0.1898 | - | - | - | - | +| 2.9094 | 2958 | 0.2795 | - | - | - | - | +| 2.9104 | 2959 | 0.0734 | - | - | - | - | +| 2.9114 | 2960 | 0.7132 | - | - | - | - | +| 2.9124 | 2961 | 0.5367 | - | - | - | - | +| 2.9134 | 2962 | 0.3531 | - | - | - | - | +| 2.9144 | 2963 | 0.3368 | - | - | - | - | +| 2.9154 | 2964 | 0.5955 | - | - | - | - | +| 2.9163 | 2965 | 0.2534 | - | - | - | - | +| 2.9173 | 2966 | 0.6842 | - | - | - | - | +| 2.9183 | 2967 | 0.1778 | - | - | - | - | +| 2.9193 | 2968 | 0.2702 | - | - | - | - | +| 2.9203 | 2969 | 0.1802 | - | - | - | - | +| 2.9213 | 2970 | 0.3735 | - | - | - | - | +| 2.9222 | 2971 | 0.4372 | - | - | - | - | +| 2.9232 | 2972 | 0.1008 | - | - | - | - | +| 2.9242 | 2973 | 0.0808 | - | - | - | - | +| 2.9252 | 2974 | 1.1305 | - | - | - | - | +| 2.9262 | 2975 | 0.2259 | - | - | - | - | +| 2.9272 | 2976 | 0.542 | - | - | - | - | +| 2.9281 | 2977 | 0.2336 | - | - | - | - | +| 2.9291 | 2978 | 0.2918 | - | - | - | - | +| 2.9301 | 2979 | 0.4221 | - | - | - | - | +| 2.9311 | 2980 | 0.166 | - | - | - | - | +| 2.9321 | 2981 | 0.1594 | - | - | - | - | +| 2.9331 | 2982 | 0.4577 | - | - | - | - | +| 2.9341 | 2983 | 0.9842 | - | - | - | - | +| 2.9350 | 2984 | 0.4133 | - | - | - | - | +| 2.9360 | 2985 | 0.1749 | - | - | - | - | +| 2.9370 | 2986 | 0.151 | - | - | - | - | +| 2.9380 | 2987 | 0.1375 | - | - | - | - | +| 2.9390 | 2988 | 0.1525 | - | - | - | - | +| 2.9400 | 2989 | 0.3028 | - | - | - | - | +| 2.9409 | 2990 | 0.2416 | - | - | - | - | +| 2.9419 | 2991 | 0.2551 | - | - | - | - | +| 2.9429 | 2992 | 0.3194 | - | - | - | - | +| 2.9439 | 2993 | 0.3568 | - | - | - | - | +| 2.9449 | 2994 | 0.9329 | - | - | - | - | +| 2.9459 | 2995 | 0.1931 | - | - | - | - | +| 2.9469 | 2996 | 0.2403 | - | - | - | - | +| 2.9478 | 2997 | 0.8228 | - | - | - | - | +| 2.9488 | 2998 | 0.478 | - | - | - | - | +| 2.9498 | 2999 | 0.4418 | - | - | - | - | +| 2.9508 | 3000 | 0.3721 | - | - | - | - | +| 2.9518 | 3001 | 0.388 | - | - | - | - | +| 2.9528 | 3002 | 0.6466 | - | - | - | - | +| 2.9537 | 3003 | 0.378 | - | - | - | - | +| 2.9547 | 3004 | 0.4389 | - | - | - | - | +| 2.9557 | 3005 | 0.1211 | - | - | - | - | +| 2.9567 | 3006 | 0.2726 | - | - | - | - | +| 2.9577 | 3007 | 0.3852 | - | - | - | - | +| 2.9587 | 3008 | 0.8051 | - | - | - | - | +| 2.9596 | 3009 | 0.3938 | - | - | - | - | +| 2.9606 | 3010 | 0.3433 | - | - | - | - | +| 2.9616 | 3011 | 0.2285 | - | - | - | - | +| 2.9626 | 3012 | 0.0872 | - | - | - | - | +| 2.9636 | 3013 | 0.3572 | - | - | - | - | +| 2.9646 | 3014 | 0.2511 | - | - | - | - | +| 2.9656 | 3015 | 0.3336 | - | - | - | - | +| 2.9665 | 3016 | 0.4178 | - | - | - | - | +| 2.9675 | 3017 | 0.7104 | - | - | - | - | +| 2.9685 | 3018 | 0.5916 | - | - | - | - | +| 2.9695 | 3019 | 0.4608 | - | - | - | - | +| 2.9705 | 3020 | 0.728 | - | - | - | - | +| 2.9715 | 3021 | 0.1237 | - | - | - | - | +| 2.9724 | 3022 | 0.2183 | - | - | - | - | +| 2.9734 | 3023 | 0.2081 | - | - | - | - | +| 2.9744 | 3024 | 0.2921 | - | - | - | - | +| 2.9754 | 3025 | 0.3556 | - | - | - | - | +| 2.9764 | 3026 | 0.189 | - | - | - | - | +| 2.9774 | 3027 | 0.3349 | - | - | - | - | +| 2.9783 | 3028 | 0.3051 | - | - | - | - | +| 2.9793 | 3029 | 0.3591 | - | - | - | - | +| 2.9803 | 3030 | 0.4902 | - | - | - | - | +| 2.9813 | 3031 | 0.4644 | - | - | - | - | +| 2.9823 | 3032 | 0.7464 | - | - | - | - | +| 2.9833 | 3033 | 0.7023 | - | - | - | - | +| 2.9843 | 3034 | 0.2988 | - | - | - | - | +| 2.9852 | 3035 | 0.6121 | - | - | - | - | +| 2.9862 | 3036 | 0.5366 | - | - | - | - | +| 2.9872 | 3037 | 0.6555 | - | - | - | - | +| 2.9882 | 3038 | 0.2812 | - | - | - | - | +| 2.9892 | 3039 | 0.6854 | - | - | - | - | +| 2.9902 | 3040 | 0.3585 | - | - | - | - | +| 2.9911 | 3041 | 0.2875 | - | - | - | - | +| 2.9921 | 3042 | 0.1937 | - | - | - | - | +| 2.9931 | 3043 | 0.1825 | - | - | - | - | +| 2.9941 | 3044 | 0.6199 | - | - | - | - | +| 2.9951 | 3045 | 0.2884 | - | - | - | - | +| 2.9961 | 3046 | 0.2596 | - | - | - | - | +| 2.9970 | 3047 | 0.2532 | - | - | - | - | +| 2.9980 | 3048 | 0.8036 | - | - | - | - | + +
+ +### Framework Versions +- Python: 3.10.12 +- Sentence Transformers: 3.2.1 +- Transformers: 4.44.2 +- PyTorch: 2.5.0+cu121 +- Accelerate: 0.34.2 +- Datasets: 3.0.2 +- Tokenizers: 0.19.1 + +## Citation + +### BibTeX + +#### Sentence Transformers +```bibtex +@inproceedings{reimers-2019-sentence-bert, + title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", + author = "Reimers, Nils and Gurevych, Iryna", + booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", + month = "11", + year = "2019", + publisher = "Association for Computational Linguistics", + url = "https://arxiv.org/abs/1908.10084", +} +``` + +#### GISTEmbedLoss +```bibtex +@misc{solatorio2024gistembed, + title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, + author={Aivin V. Solatorio}, + year={2024}, + eprint={2402.16829}, + archivePrefix={arXiv}, + primaryClass={cs.LG} +} +``` + + + + + + \ No newline at end of file